diff --git a/1.py b/1.py new file mode 100644 index 0000000..e6c9144 --- /dev/null +++ b/1.py @@ -0,0 +1,4 @@ + + +new_wavelengths = [np.mean(wavelengths[i:i+3]) for i in range(0, len(wavelengths), 3)] +print(new_wavelengths) \ No newline at end of file diff --git a/data/icons/Mega Water 1.0.png b/data/icons/Mega Water 1.0.png index 1b8499c..ad5abe9 100644 Binary files a/data/icons/Mega Water 1.0.png and b/data/icons/Mega Water 1.0.png differ diff --git a/src/core/glint_removal/Goodman.py b/src/core/glint_removal/Goodman.py index 2034dc8..5a43910 100644 --- a/src/core/glint_removal/Goodman.py +++ b/src/core/glint_removal/Goodman.py @@ -1,4 +1,5 @@ import numpy as np +import sys # import preprocessing try: @@ -14,9 +15,12 @@ try: except ImportError: TQDM_AVAILABLE = False # 如果tqdm不可用，定义一个简单的包装器 - def tqdm(iterable, desc=None, total=None): + def tqdm(iterable, desc=None, total=None, disable=None): return iterable +# 检测是否在 PyInstaller 打包环境（无控制台） +_is_frozen_gui = getattr(sys, "frozen", False) and (not hasattr(sys, 'stdout') or sys.stdout is None) + class Goodman: def __init__(self, im_aligned, NIR_lower = 25, NIR_upper = 37, A = 0.000019, B = 0.1, use_gdal=True, chunk_size=None, water_mask=None, output_path=None): @@ -170,7 +174,7 @@ class Goodman: water_mask_bool = self.water_mask.astype(bool) if self.water_mask is not None else None # 逐波段处理：每次只处理一个波段，处理完后立即添加到结果列表 - for i in tqdm(range(self.n_bands), desc="处理波段 (numpy)", total=self.n_bands): + for i in tqdm(range(self.n_bands), desc="处理波段 (numpy)", total=self.n_bands, disable=_is_frozen_gui): # 获取当前波段（这是数组视图，不是复制） R = self.im_aligned[:,:,i] # 优化计算：减少中间数组创建 @@ -207,7 +211,7 @@ class Goodman: water_mask_bool = self.water_mask.astype(bool) if self.water_mask is not None else None # 逐波段处理：每次只读取和处理一个波段 - for i in tqdm(range(self.n_bands), desc="处理波段 (GDAL)", total=self.n_bands): + for i in tqdm(range(self.n_bands), desc="处理波段 (GDAL)", total=self.n_bands, disable=_is_frozen_gui): # 读取当前波段（只加载一个波段到内存） current_band = self.dataset.GetRasterBand(i + 1) R = current_band.ReadAsArray().astype(np.float32) @@ -235,7 +239,7 @@ class Goodman: mem_dataset = driver.Create('', self.width, self.height, self.n_bands, gdal.GDT_Float32) # 将numpy数组写入内存数据集（显示进度） - for i in tqdm(range(self.n_bands), desc="加载波段到内存", total=self.n_bands): + for i in tqdm(range(self.n_bands), desc="加载波段到内存", total=self.n_bands, disable=_is_frozen_gui): band = mem_dataset.GetRasterBand(i + 1) band.WriteArray(self.im_aligned[:,:,i]) band.FlushCache() @@ -316,7 +320,7 @@ class Goodman: dataset.SetProjection(projection) # 直接逐波段写入（不先堆叠，节省内存） - for i in tqdm(range(n_bands), desc="保存波段", total=n_bands): + for i in tqdm(range(n_bands), desc="保存波段", total=n_bands, disable=_is_frozen_gui): band = dataset.GetRasterBand(i + 1) # 直接从列表中获取波段并写入，避免创建完整数组 band.WriteArray(corrected_bands[i]) diff --git a/src/core/modeling/modeling_batch.py b/src/core/modeling/modeling_batch.py index 9a1a519..73287b7 100644 --- a/src/core/modeling/modeling_batch.py +++ b/src/core/modeling/modeling_batch.py @@ -19,7 +19,7 @@ from sklearn.cross_decomposition import PLSRegression from sklearn.ensemble import GradientBoostingRegressor, AdaBoostRegressor, ExtraTreesRegressor from sklearn.tree import DecisionTreeRegressor from sklearn.neural_network import MLPRegressor - +from joblib import parallel_backend # 第三方模型导入 # try: # import lightgbm as lgb @@ -648,8 +648,10 @@ class WaterQualityModelingBatch: ) # 在训练集上训练模型 + # with parallel_backend("threading", n_jobs=-1): + # grid_search.fit(X_train, y_train) grid_search.fit(X_train, y_train) - + # 获取最佳模型 best_model = grid_search.best_estimator_ diff --git a/src/gui/water_quality_gui.py b/src/gui/water_quality_gui.py index 12db4e4..0890e03 100644 --- a/src/gui/water_quality_gui.py +++ b/src/gui/water_quality_gui.py @@ -15,7 +15,7 @@ from datetime import datetime from typing import Dict, Optional, List, Union import numpy as np import pandas as pd - +import multiprocessing from PyQt5.QtWidgets import ( QApplication, QMainWindow, QWidget, QVBoxLayout, QHBoxLayout, QPushButton, QLabel, QLineEdit, QComboBox, QCheckBox, QSpinBox, @@ -3462,6 +3462,10 @@ class ImageViewerWidget(QWidget): super().__init__(parent) self.current_image_path = None self.scale_factor = 1.0 + self._update_timer = QTimer() # 防抖定时器 + self._update_timer.setSingleShot(True) + self._update_timer.timeout.connect(self._do_update_display) + self._pending_scale = None # 待更新的缩放比例 self.setup_ui() def setup_ui(self): @@ -3564,28 +3568,62 @@ class ImageViewerWidget(QWidget): self.status_label.setText(f"{pixmap.width()}x{pixmap.height()} | {size_mb:.2f} MB | {Path(image_path).name} | 适应窗口") def update_image_display(self): - """更新图像显示""" + """更新图像显示 - 使用防抖避免频繁重绘卡顿""" + # 取消之前的待执行更新，重新计时 + self._update_timer.stop() + self._pending_scale = self.scale_factor + self._update_timer.start(50) # 50ms后执行实际更新 + + def _do_update_display(self): + """实际执行图像更新""" if not hasattr(self, 'original_pixmap') or self.original_pixmap.isNull(): return + if self._pending_scale is None: + return + + # 根据缩放比例选择变换模式：大幅度缩放用Fast模式提升性能 + if self._pending_scale > 2.0 or self._pending_scale < 0.5: + transform = Qt.FastTransformation + else: + transform = Qt.SmoothTransformation + scaled_pixmap = self.original_pixmap.scaled( - int(self.original_pixmap.width() * self.scale_factor), - int(self.original_pixmap.height() * self.scale_factor), + int(self.original_pixmap.width() * self._pending_scale), + int(self.original_pixmap.height() * self._pending_scale), Qt.KeepAspectRatio, - Qt.SmoothTransformation + transform ) self.image_label.setPixmap(scaled_pixmap) + self._pending_scale = None + + def wheelEvent(self, event): + """鼠标滚轮缩放 - 实时响应""" + delta = event.angleDelta().y() + + if delta > 0: + # 向上滚动 - 放大 + if self.scale_factor < 5.0: + self.scale_factor = min(self.scale_factor * 1.1, 5.0) + self.update_image_display() + else: + # 向下滚动 - 缩小 + if self.scale_factor > 0.1: + self.scale_factor = max(self.scale_factor / 1.1, 0.1) + self.update_image_display() + + event.accept() def zoom_in(self): """放大""" if self.scale_factor < 5.0: - self.scale_factor *= 1.25 + self.scale_factor = min(self.scale_factor * 1.25, 5.0) self.update_image_display() def zoom_out(self): """缩小""" if self.scale_factor > 0.1: - self.scale_factor /= 1.25 + self.scale_factor = max(self.scale_factor / 1.25, 0.1) self.update_image_display() def fit_to_window(self): @@ -3599,14 +3637,20 @@ class ImageViewerWidget(QWidget): scale_w = view_size.width() / img_size.width() scale_h = view_size.height() / img_size.height() - self.scale_factor = min(scale_w, scale_h, 1.0) # 不超过原始大小 + + # 记录适应前的比例（用于后续恢复参考） + self._fit_scale = min(scale_w, scale_h) + self.scale_factor = self._fit_scale self.update_image_display() + self.status_label.setText(f"适应窗口 | 缩放: {self.scale_factor:.1%}") def original_size(self): """原始大小""" self.scale_factor = 1.0 + self._fit_scale = None # 清除适应记录 self.update_image_display() + self.status_label.setText("原始大小 | 缩放: 100%") def save_image(self): """保存图像""" @@ -5229,6 +5273,7 @@ class WaterQualityGUI(QMainWindow): self.init_ui() self.apply_stylesheet() + self._disable_wheel_for_all_spinboxes() def get_icon_path(self, icon_filename): """ @@ -5245,10 +5290,48 @@ class WaterQualityGUI(QMainWindow): return os.path.join(icon_dir, icon_filename) + def _disable_wheel_for_all_spinboxes(self): + """ + 遍历所有子控件，为 QSpinBox/QDoubleSpinBox/QComboBox 禁用滚轮事件 + 防止滚动页面时意外改变数值 + """ + from PyQt5.QtCore import Qt + + # 找到所有数值输入控件 + for spinbox in self.findChildren(QSpinBox): + spinbox.setFocusPolicy(Qt.StrongFocus) # 只有聚焦时才响应滚轮 + spinbox.wheelEvent = lambda event, sb=spinbox: None # 完全禁用滚轮 + + for spinbox in self.findChildren(QDoubleSpinBox): + spinbox.setFocusPolicy(Qt.StrongFocus) + spinbox.wheelEvent = lambda event, sb=spinbox: None + + for combobox in self.findChildren(QComboBox): + combobox.setFocusPolicy(Qt.StrongFocus) + combobox.wheelEvent = lambda event, cb=combobox: None + def init_ui(self): """初始化UI""" self.setWindowTitle("水质参数反演分析系统 v1.0") - self.setGeometry(100, 100, 1200, 800) + + # 获取屏幕可用区域（排除任务栏） + screen_geometry = QApplication.primaryScreen().availableGeometry() + screen_width = screen_geometry.width() + screen_height = screen_geometry.height() + + # 初始尺寸：宽度固定 800，高度占满屏幕 + window_width = 1200 + window_height = screen_height + # 仅设置初始大小，不锁定 + self.resize(window_width, window_height) + + # 计算水平居中、垂直贴顶的位置 + x = (screen_width - window_width) // 2 + y = 0 + self.move(x, y) + + # 可选：设置最小尺寸，防止用户缩得太小 + self.setMinimumSize(600, 400) # 创建自定义标题栏（包含Logo和菜单栏） self.create_title_bar() @@ -5297,8 +5380,12 @@ class WaterQualityGUI(QMainWindow): """) # 设置Logo图片路径 - 使用相对路径（打包兼容） - logo_path = r"E:\code\WQ\GUI_v1\fengzhuang-ui2V3\data\icons\logo.png" - logo_pixmap = QPixmap(str(logo_path)) + from pathlib import Path + if hasattr(sys, '_MEIPASS'): + logo_path = os.path.join(sys._MEIPASS, 'data', 'icons', 'logo.png') + else: + logo_path = str(Path(__file__).parent.parent.parent / "data" / "icons" / "logo.png") + logo_pixmap = QPixmap(logo_path) if not logo_pixmap.isNull(): # 按高度缩放图片，保持宽高比，让Logo更显眼 @@ -5406,17 +5493,23 @@ class WaterQualityGUI(QMainWindow): banner_layout = QHBoxLayout() banner_layout.setContentsMargins(0, 0, 0, 0) banner_layout.setSpacing(0) + # 不设置居中对齐，让横幅填满整个容器 - # 创建横幅标签 + # 创建横幅标签 - 完全跟随窗口等比缩放，填满整个区域 self.banner_label = QLabel() - self.banner_label.setMinimumHeight(65) - self.banner_label.setMaximumHeight(110) - self.banner_label.setAlignment(Qt.AlignCenter) + # 最小高度保证：当窗口很小时至少显示 38px 高 (200px 宽 / 5.25) + self.banner_label.setMinimumHeight(int(200 / 5.25)) # ≈ 38px + # 使用 Expanding 策略让标签填满可用空间 self.banner_label.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed) self.banner_label.setScaledContents(False) + # 清除 QLabel 默认的 margin 和 padding，消除右侧空白 + self.banner_label.setStyleSheet("margin: 0px; padding: 0px; border: none;") # 保存原始pixmap用于后续缩放 - banner_path = r"E:\code\WQ\GUI_v1\fengzhuang-ui2\data\icons\Mega Water 1.0.png" + if hasattr(sys, '_MEIPASS'): + banner_path = os.path.join(sys._MEIPASS, 'data', 'icons', 'Mega Water 1.0.png') + else: + banner_path = str(Path(__file__).parent.parent.parent / "data" / "icons" / "Mega Water 1.0.png") self.banner_pixmap = QPixmap(banner_path) if not self.banner_pixmap.isNull(): @@ -5444,13 +5537,19 @@ class WaterQualityGUI(QMainWindow): banner_toolbar.setMovable(False) banner_toolbar.setFloatable(False) banner_toolbar.addWidget(banner_widget) + banner_toolbar.setContentsMargins(0, 0, 0, 0) # 清除工具栏布局的边距 banner_toolbar.setStyleSheet(""" QToolBar { background-color: white; border: none; border-bottom: 1px solid #ddd; - padding: 2px 0px; + padding: 0px; margin: 0px; + spacing: 0px; + } + QToolBar QWidget { + margin: 0px; + padding: 0px; } """) @@ -6203,44 +6302,42 @@ class WaterQualityGUI(QMainWindow): self.training_mode_action.setText("有训练数据模式" if checked else "无训练数据模式") def update_banner_image(self): - """更新横幅图片 - 等比自适应缩放""" + """更新横幅图片 - 完全跟随窗口等比缩放，填满可用宽度""" if not hasattr(self, 'banner_pixmap') or self.banner_pixmap.isNull(): return - # 获取可用宽度（考虑工具栏边距） - available_width = max(200, self.width() - 60) # 最小宽度保护 + # 获取可用宽度（考虑工具栏边距），跟随窗口实时变化 + available_width = max(200, self.width() - 60) + + # 先根据可用宽度计算目标高度（严格 5.25:1） + target_height = int(available_width / 5.25) + + # 限制最小高度 + if target_height < 38: + target_height = 38 + available_width = int(38 * 5.25) - # 第一步：按宽度缩放，保持比例 + # 计算图片目标尺寸（保持 5.25:1 比例） + target_width = available_width + + # 设置固定尺寸，确保标签严格填满整个区域 + self.banner_label.setFixedSize(target_width, target_height) + + # 等比缩放到目标尺寸，填满整个区域（允许轻微裁剪） scaled_pixmap = self.banner_pixmap.scaled( - available_width, - 120, # 最大允许高度 - Qt.KeepAspectRatio, # 关键：等比缩放 - Qt.SmoothTransformation # 平滑缩放 + target_width, + target_height, + Qt.KeepAspectRatioByExpanding, # 保持比例，填满区域，允许裁剪超出部分 + Qt.SmoothTransformation ) - # 如果高度仍然过大，则按高度限制缩放 - if scaled_pixmap.height() > 110: - scaled_pixmap = self.banner_pixmap.scaled( - int(available_width * 0.9), - 110, - Qt.KeepAspectRatio, - Qt.SmoothTransformation - ) - self.banner_label.setPixmap(scaled_pixmap) def resizeEvent(self, event): """窗口大小改变事件 - 实时更新横幅图片等比缩放""" super().resizeEvent(event) - # 使用定时器避免频繁调用 - if hasattr(self, '_banner_timer'): - self._banner_timer.stop() - else: - self._banner_timer = QTimer() - self._banner_timer.setSingleShot(True) - self._banner_timer.timeout.connect(self.update_banner_image) - - self._banner_timer.start(50) # 50ms后更新 + # 直接调用，不使用定时器延迟（或缩短到 10ms） + self.update_banner_image() def update_ui_for_training_mode(self): """根据训练数据模式更新UI状态""" @@ -6296,5 +6393,7 @@ def main(): if __name__ == "__main__": + #冻结，只显示1个exe + # multiprocessing.freeze_support() main() diff --git a/src/gui/work_dir/2_glint/severe_glint_area.dat b/src/gui/work_dir/2_glint/severe_glint_area.dat deleted file mode 100644 index 6dc3933..0000000 Binary files a/src/gui/work_dir/2_glint/severe_glint_area.dat and /dev/null differ diff --git a/src/gui/work_dir/2_glint/severe_glint_area.hdr b/src/gui/work_dir/2_glint/severe_glint_area.hdr deleted file mode 100644 index 0fbc998..0000000 --- a/src/gui/work_dir/2_glint/severe_glint_area.hdr +++ /dev/null @@ -1,15 +0,0 @@ -ENVI -description = { -work_dir\2_glint\severe_glint_area.dat} -samples = 11363 -lines = 10408 -bands = 1 -header offset = 0 -file type = ENVI Standard -data type = 4 -interleave = bsq -byte order = 0 -map info = {UTM, 1, 1, 600742.055, 4613386.65, 0.2, 0.2, 51, North,WGS-84} -coordinate system string = {PROJCS["WGS_1984_UTM_Zone_51N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",123.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]} -band names = { -Band 1} diff --git a/src/gui/work_dir/6_75_custom_regression/1002.515991_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/1002.515991_regression_results.csv deleted file mode 100644 index 307c50d..0000000 --- a/src/gui/work_dir/6_75_custom_regression/1002.515991_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,1002.515991,0.11209397634185636,y = -0.005956 + 0.001186*x,134,10.960663313432837,3.9096921347220377,0.007041335820895523,0.0138473135041692 -logarithmic,Chlorophyll,1002.515991,0.09022914646608904,y = -0.019813 + 0.011526*ln(x),134,10.960663313432837,3.9096921347220377,0.007041335820895523,0.0138473135041692 diff --git a/src/gui/work_dir/6_75_custom_regression/1007.041016_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/1007.041016_regression_results.csv deleted file mode 100644 index c17f9a8..0000000 --- a/src/gui/work_dir/6_75_custom_regression/1007.041016_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,1007.041016,0.13129585788396014,y = -0.007873 + 0.001537*x,134,10.960663313432837,3.9096921347220377,0.008974216417910446,0.016584272713125302 -logarithmic,Chlorophyll,1007.041016,0.10398887849221805,y = -0.025553 + 0.014819*ln(x),134,10.960663313432837,3.9096921347220377,0.008974216417910446,0.016584272713125302 diff --git a/src/gui/work_dir/6_75_custom_regression/1011.56897_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/1011.56897_regression_results.csv deleted file mode 100644 index d086604..0000000 --- a/src/gui/work_dir/6_75_custom_regression/1011.56897_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,1011.56897,0.11897246869922418,y = -0.007866 + 0.001621*x,134,10.960663313432837,3.9096921347220377,0.00990283582089552,0.01837518499092342 -logarithmic,Chlorophyll,1011.56897,0.09605697495450882,y = -0.026865 + 0.015780*ln(x),134,10.960663313432837,3.9096921347220377,0.00990283582089552,0.01837518499092342 diff --git a/src/gui/work_dir/6_75_custom_regression/374.285004_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/374.285004_regression_results.csv deleted file mode 100644 index 0e5ff09..0000000 --- a/src/gui/work_dir/6_75_custom_regression/374.285004_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,374.285004,0.0577461915301245,y = 0.009707 + 0.000311*x,134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -logarithmic,Chlorophyll,374.285004,0.052490162787109385,y = 0.005636 + 0.003209*ln(x),134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -exponential,Chlorophyll,374.285004,0.030557192829324564,y = 0.010822 * exp(0.013060*x),134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -power,Chlorophyll,374.285004,0.02576326804736484,y = 0.009209 * x^0.130700,134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 diff --git a/src/gui/work_dir/6_75_custom_regression/378.311005_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/378.311005_regression_results.csv deleted file mode 100644 index 326265f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/378.311005_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,378.311005,0.008061439581006025,y = 0.013092 + 0.001044*ln(x),134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -linear,Chlorophyll,378.311005,0.008052879252108514,y = 0.014468 + 0.000096*x,134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -power,Chlorophyll,378.311005,-0.016155019039159058,y = 0.015641 * x^-0.016124,134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -exponential,Chlorophyll,378.311005,-0.01708357282563666,y = 0.015362 * exp(-0.001784*x),134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 diff --git a/src/gui/work_dir/6_75_custom_regression/382.341003_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/382.341003_regression_results.csv deleted file mode 100644 index 728d323..0000000 --- a/src/gui/work_dir/6_75_custom_regression/382.341003_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,382.341003,0.010983531384569756,y = 0.013856 + 0.000202*x,134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -logarithmic,Chlorophyll,382.341003,0.010636805221273526,y = 0.011048 + 0.002157*ln(x),134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -power,Chlorophyll,382.341003,-0.007234268459601845,y = 0.015174 * x^0.006143,134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -exponential,Chlorophyll,382.341003,-0.008026222697967267,y = 0.015380 * exp(0.000073*x),134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 diff --git a/src/gui/work_dir/6_75_custom_regression/386.373993_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/386.373993_regression_results.csv deleted file mode 100644 index c22646f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/386.373993_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,386.373993,0.004476522091747537,y = 0.013943 + 0.001356*ln(x),134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -linear,Chlorophyll,386.373993,0.003937809502393641,y = 0.015816 + 0.000117*x,134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -power,Chlorophyll,386.373993,-0.013451645087448227,y = 0.018099 * x^-0.040970,134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -exponential,Chlorophyll,386.373993,-0.01526209268366463,y = 0.017374 * exp(-0.004977*x),134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 diff --git a/src/gui/work_dir/6_75_custom_regression/390.410004_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/390.410004_regression_results.csv deleted file mode 100644 index 9e93946..0000000 --- a/src/gui/work_dir/6_75_custom_regression/390.410004_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,390.410004,0.0033869580773776553,y = 0.014722 + 0.001210*ln(x),134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -linear,Chlorophyll,390.410004,0.0026484411391527463,y = 0.016458 + 0.000099*x,134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -power,Chlorophyll,390.410004,-0.01625121404032659,y = 0.019411 * x^-0.060440,134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -exponential,Chlorophyll,390.410004,-0.018540174411018073,y = 0.018243 * exp(-0.007186*x),134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 diff --git a/src/gui/work_dir/6_75_custom_regression/394.450012_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/394.450012_regression_results.csv deleted file mode 100644 index 128da03..0000000 --- a/src/gui/work_dir/6_75_custom_regression/394.450012_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,394.450012,0.0016938639111105935,y = 0.015234 + 0.000830*ln(x),134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -linear,Chlorophyll,394.450012,0.0010649475553690113,y = 0.016503 + 0.000061*x,134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -power,Chlorophyll,394.450012,-0.023745377413006752,y = 0.020435 * x^-0.094840,134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -exponential,Chlorophyll,394.450012,-0.02617627918721488,y = 0.018415 * exp(-0.010666*x),134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 diff --git a/src/gui/work_dir/6_75_custom_regression/398.493011_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/398.493011_regression_results.csv deleted file mode 100644 index 5ae8962..0000000 --- a/src/gui/work_dir/6_75_custom_regression/398.493011_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,398.493011,0.000857763974499659,y = 0.015092 + 0.000573*ln(x),134,10.960663313432837,3.9096921347220377,0.016425865671641792,0.00705544097312418 -linear,Chlorophyll,398.493011,0.0003890186261535922,y = 0.016036 + 0.000036*x,134,10.960663313432837,3.9096921347220377,0.016425865671641792,0.00705544097312418 diff --git a/src/gui/work_dir/6_75_custom_regression/402.539001_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/402.539001_regression_results.csv deleted file mode 100644 index 7f835b4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/402.539001_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,402.539001,0.00048016503667658306,y = 0.015505 + 0.000443*ln(x),134,10.960663313432837,3.9096921347220377,0.01653574626865672,0.007288381669035372 -linear,Chlorophyll,402.539001,0.0001313248786827259,y = 0.016302 + 0.000021*x,134,10.960663313432837,3.9096921347220377,0.01653574626865672,0.007288381669035372 diff --git a/src/gui/work_dir/6_75_custom_regression/406.588989_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/406.588989_regression_results.csv deleted file mode 100644 index 77edadd..0000000 --- a/src/gui/work_dir/6_75_custom_regression/406.588989_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,406.588989,0.00016428918964617178,y = 0.015242 + 0.000242*ln(x),134,10.960663313432837,3.9096921347220377,0.015806723880597017,0.006825478500958131 -linear,Chlorophyll,406.588989,1.6937017762730378e-06,y = 0.015782 + 0.000002*x,134,10.960663313432837,3.9096921347220377,0.015806723880597017,0.006825478500958131 diff --git a/src/gui/work_dir/6_75_custom_regression/410.641998_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/410.641998_regression_results.csv deleted file mode 100644 index 779ff0e..0000000 --- a/src/gui/work_dir/6_75_custom_regression/410.641998_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,410.641998,0.00010695507791136372,y = 0.014822 + 0.000189*ln(x),134,10.960663313432837,3.9096921347220377,0.015261298507462688,0.0065848636688817614 -linear,Chlorophyll,410.641998,2.2039578226884515e-06,y = 0.015289 + -0.000003*x,134,10.960663313432837,3.9096921347220377,0.015261298507462688,0.0065848636688817614 diff --git a/src/gui/work_dir/6_75_custom_regression/414.699005_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/414.699005_regression_results.csv deleted file mode 100644 index 294997a..0000000 --- a/src/gui/work_dir/6_75_custom_regression/414.699005_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,414.699005,9.23718683270014e-05,y = 0.014978 + -0.000015*x,134,10.960663313432837,3.9096921347220377,0.014808014925373135,0.006298696608817295 -logarithmic,Chlorophyll,414.699005,1.0794055052776308e-05,y = 0.014674 + 0.000057*ln(x),134,10.960663313432837,3.9096921347220377,0.014808014925373135,0.006298696608817295 diff --git a/src/gui/work_dir/6_75_custom_regression/418.759003_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/418.759003_regression_results.csv deleted file mode 100644 index d7213bb..0000000 --- a/src/gui/work_dir/6_75_custom_regression/418.759003_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,418.759003,0.0002645667637589666,y = 0.014364 + -0.000025*x,134,10.960663313432837,3.9096921347220377,0.014088052238805972,0.006051440804527788 -logarithmic,Chlorophyll,418.759003,7.794051727350038e-06,y = 0.014197 + -0.000047*ln(x),134,10.960663313432837,3.9096921347220377,0.014088052238805972,0.006051440804527788 diff --git a/src/gui/work_dir/6_75_custom_regression/422.821991_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/422.821991_regression_results.csv deleted file mode 100644 index ff4cbbb..0000000 --- a/src/gui/work_dir/6_75_custom_regression/422.821991_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,422.821991,0.0008115657894584016,y = 0.014105 + -0.000042*x,134,10.960663313432837,3.9096921347220377,0.013641977611940298,0.005799322545956216 -logarithmic,Chlorophyll,422.821991,0.0001768579797475356,y = 0.014140 + -0.000214*ln(x),134,10.960663313432837,3.9096921347220377,0.013641977611940298,0.005799322545956216 diff --git a/src/gui/work_dir/6_75_custom_regression/426.889008_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/426.889008_regression_results.csv deleted file mode 100644 index 41f3064..0000000 --- a/src/gui/work_dir/6_75_custom_regression/426.889008_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,426.889008,0.0013073210454338513,y = 0.014170 + -0.000053*x,134,10.960663313432837,3.9096921347220377,0.013589074626865672,0.005728319043930576 -logarithmic,Chlorophyll,426.889008,0.0004182937928386421,y = 0.014345 + -0.000325*ln(x),134,10.960663313432837,3.9096921347220377,0.013589074626865672,0.005728319043930576 diff --git a/src/gui/work_dir/6_75_custom_regression/430.959015_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/430.959015_regression_results.csv deleted file mode 100644 index a06822c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/430.959015_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,430.959015,0.002347137019542922,y = 0.013733 + -0.000067*x,134,10.960663313432837,3.9096921347220377,0.012997753731343284,0.005410808768465578 -logarithmic,Chlorophyll,430.959015,0.0010658686661263461,y = 0.014138 + -0.000489*ln(x),134,10.960663313432837,3.9096921347220377,0.012997753731343284,0.005410808768465578 diff --git a/src/gui/work_dir/6_75_custom_regression/435.032013_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/435.032013_regression_results.csv deleted file mode 100644 index 52359f9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/435.032013_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,435.032013,0.0024283085040497365,y = 0.013179 + -0.000069*x,134,10.960663313432837,3.9096921347220377,0.012427850746268653,0.005435180040005626 -logarithmic,Chlorophyll,435.032013,0.0011266238526388417,y = 0.013606 + -0.000506*ln(x),134,10.960663313432837,3.9096921347220377,0.012427850746268653,0.005435180040005626 diff --git a/src/gui/work_dir/6_75_custom_regression/439.109009_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/439.109009_regression_results.csv deleted file mode 100644 index 3f0f36b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/439.109009_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,439.109009,0.0042064615418079265,y = 0.013397 + -0.000086*x,134,10.960663313432837,3.9096921347220377,0.012450895522388062,0.005205005715323194 -logarithmic,Chlorophyll,439.109009,0.002294686396103418,y = 0.014061 + -0.000691*ln(x),134,10.960663313432837,3.9096921347220377,0.012450895522388062,0.005205005715323194 diff --git a/src/gui/work_dir/6_75_custom_regression/443.190002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/443.190002_regression_results.csv deleted file mode 100644 index 48d8a2b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/443.190002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,443.190002,0.004695213661859765,y = 0.013279 + -0.000091*x,134,10.960663313432837,3.9096921347220377,0.012285432835820896,0.00517286197733264 -logarithmic,Chlorophyll,443.190002,0.0026235944054925353,y = 0.013996 + -0.000734*ln(x),134,10.960663313432837,3.9096921347220377,0.012285432835820896,0.00517286197733264 diff --git a/src/gui/work_dir/6_75_custom_regression/447.27301_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/447.27301_regression_results.csv deleted file mode 100644 index 3f2e992..0000000 --- a/src/gui/work_dir/6_75_custom_regression/447.27301_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,447.27301,0.005169120886448608,y = 0.013250 + -0.000094*x,134,10.960663313432837,3.9096921347220377,0.012221335820895522,0.005101097814158477 -logarithmic,Chlorophyll,447.27301,0.002968315833349222,y = 0.014016 + -0.000770*ln(x),134,10.960663313432837,3.9096921347220377,0.012221335820895522,0.005101097814158477 diff --git a/src/gui/work_dir/6_75_custom_regression/451.360992_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/451.360992_regression_results.csv deleted file mode 100644 index 7e1674f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/451.360992_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,451.360992,0.004863772601295668,y = 0.013262 + -0.000092*x,134,10.960663313432837,3.9096921347220377,0.012257104477611941,0.00513769471108476 -logarithmic,Chlorophyll,451.360992,0.002739591016255649,y = 0.013993 + -0.000745*ln(x),134,10.960663313432837,3.9096921347220377,0.012257104477611941,0.00513769471108476 diff --git a/src/gui/work_dir/6_75_custom_regression/455.450989_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/455.450989_regression_results.csv deleted file mode 100644 index d7e5855..0000000 --- a/src/gui/work_dir/6_75_custom_regression/455.450989_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,455.450989,0.005525011318207929,y = 0.013206 + -0.000097*x,134,10.960663313432837,3.9096921347220377,0.012144328358208955,0.005093595896892254 -logarithmic,Chlorophyll,455.450989,0.0032249891993542112,y = 0.014012 + -0.000802*ln(x),134,10.960663313432837,3.9096921347220377,0.012144328358208955,0.005093595896892254 diff --git a/src/gui/work_dir/6_75_custom_regression/459.545013_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/459.545013_regression_results.csv deleted file mode 100644 index 695fc64..0000000 --- a/src/gui/work_dir/6_75_custom_regression/459.545013_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,459.545013,0.005303969126716268,y = 0.013029 + -0.000095*x,134,10.960663313432837,3.9096921347220377,0.011992097014925374,0.005076948054716495 -logarithmic,Chlorophyll,459.545013,0.0030599507272712767,y = 0.013805 + -0.000778*ln(x),134,10.960663313432837,3.9096921347220377,0.011992097014925374,0.005076948054716495 diff --git a/src/gui/work_dir/6_75_custom_regression/463.641998_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/463.641998_regression_results.csv deleted file mode 100644 index 5c5918b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/463.641998_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,463.641998,0.005309017626029533,y = 0.013098 + -0.000096*x,134,10.960663313432837,3.9096921347220377,0.012043410447761194,0.0051616384058770694 -logarithmic,Chlorophyll,463.641998,0.00309369061071596,y = 0.013897 + -0.000796*ln(x),134,10.960663313432837,3.9096921347220377,0.012043410447761194,0.0051616384058770694 diff --git a/src/gui/work_dir/6_75_custom_regression/467.743011_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/467.743011_regression_results.csv deleted file mode 100644 index feebac4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/467.743011_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,467.743011,0.005910540579640466,y = 0.013129 + -0.000101*x,134,10.960663313432837,3.9096921347220377,0.012021395522388062,0.0051373056777988335 -logarithmic,Chlorophyll,467.743011,0.0035312797033351107,y = 0.013992 + -0.000846*ln(x),134,10.960663313432837,3.9096921347220377,0.012021395522388062,0.0051373056777988335 diff --git a/src/gui/work_dir/6_75_custom_regression/471.846985_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/471.846985_regression_results.csv deleted file mode 100644 index 20cfa5b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/471.846985_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,471.846985,0.006597953952974689,y = 0.013090 + -0.000107*x,134,10.960663313432837,3.9096921347220377,0.011916462686567163,0.005154508155317495 -logarithmic,Chlorophyll,471.846985,0.004055554987167143,y = 0.014036 + -0.000910*ln(x),134,10.960663313432837,3.9096921347220377,0.011916462686567163,0.005154508155317495 diff --git a/src/gui/work_dir/6_75_custom_regression/475.954987_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/475.954987_regression_results.csv deleted file mode 100644 index 8452e9b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/475.954987_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,475.954987,0.006969427568661812,y = 0.013222 + -0.000110*x,134,10.960663313432837,3.9096921347220377,0.012010992537313433,0.005173190365687869 -logarithmic,Chlorophyll,475.954987,0.0043493646432547495,y = 0.014214 + -0.000945*ln(x),134,10.960663313432837,3.9096921347220377,0.012010992537313433,0.005173190365687869 diff --git a/src/gui/work_dir/6_75_custom_regression/480.065002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/480.065002_regression_results.csv deleted file mode 100644 index 7b46d6b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/480.065002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,480.065002,0.006908555626254476,y = 0.013165 + -0.000112*x,134,10.960663313432837,3.9096921347220377,0.011938738805970149,0.005260977465686793 -logarithmic,Chlorophyll,480.065002,0.004358699372388197,y = 0.014181 + -0.000962*ln(x),134,10.960663313432837,3.9096921347220377,0.011938738805970149,0.005260977465686793 diff --git a/src/gui/work_dir/6_75_custom_regression/484.179993_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/484.179993_regression_results.csv deleted file mode 100644 index 57d99a0..0000000 --- a/src/gui/work_dir/6_75_custom_regression/484.179993_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,484.179993,0.007786080902936532,y = 0.013479 + -0.000120*x,134,10.960663313432837,3.9096921347220377,0.01216315671641791,0.00531894585260112 -logarithmic,Chlorophyll,484.179993,0.00503315433665652,y = 0.014599 + -0.001046*ln(x),134,10.960663313432837,3.9096921347220377,0.01216315671641791,0.00531894585260112 diff --git a/src/gui/work_dir/6_75_custom_regression/488.296997_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/488.296997_regression_results.csv deleted file mode 100644 index 87b290c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/488.296997_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,488.296997,0.009003426521211222,y = 0.013413 + -0.000127*x,134,10.960663313432837,3.9096921347220377,0.01202031343283582,0.005235852382412684 -logarithmic,Chlorophyll,488.296997,0.0059888617317502835,y = 0.014636 + -0.001123*ln(x),134,10.960663313432837,3.9096921347220377,0.01202031343283582,0.005235852382412684 diff --git a/src/gui/work_dir/6_75_custom_regression/492.417999_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/492.417999_regression_results.csv deleted file mode 100644 index 19469fc..0000000 --- a/src/gui/work_dir/6_75_custom_regression/492.417999_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,492.417999,0.009356273796731096,y = 0.013426 + -0.000130*x,134,10.960663313432837,3.9096921347220377,0.011996694029850746,0.00526918646504346 -logarithmic,Chlorophyll,492.417999,0.0063786563113004124,y = 0.014714 + -0.001166*ln(x),134,10.960663313432837,3.9096921347220377,0.011996694029850746,0.00526918646504346 diff --git a/src/gui/work_dir/6_75_custom_regression/496.542999_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/496.542999_regression_results.csv deleted file mode 100644 index 8e039ec..0000000 --- a/src/gui/work_dir/6_75_custom_regression/496.542999_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,496.542999,0.008454580487572083,y = 0.013491 + -0.000126*x,134,10.960663313432837,3.9096921347220377,0.012105947761194029,0.00537461785981684 -logarithmic,Chlorophyll,496.542999,0.005612309162053686,y = 0.014705 + -0.001116*ln(x),134,10.960663313432837,3.9096921347220377,0.012105947761194029,0.00537461785981684 diff --git a/src/gui/work_dir/6_75_custom_regression/500.67099_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/500.67099_regression_results.csv deleted file mode 100644 index d837c1f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/500.67099_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,500.67099,0.008930402290994066,y = 0.013947 + -0.000130*x,134,10.960663313432837,3.9096921347220377,0.012519723880597015,0.005386983290859261 -logarithmic,Chlorophyll,500.67099,0.006027433290726858,y = 0.015220 + -0.001159*ln(x),134,10.960663313432837,3.9096921347220377,0.012519723880597015,0.005386983290859261 diff --git a/src/gui/work_dir/6_75_custom_regression/504.802002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/504.802002_regression_results.csv deleted file mode 100644 index 126587b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/504.802002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,504.802002,0.007851805368295328,y = 0.014159 + -0.000122*x,134,10.960663313432837,3.9096921347220377,0.012821291044776119,0.005386616665575906 -logarithmic,Chlorophyll,504.802002,0.005168584239575225,y = 0.015321 + -0.001073*ln(x),134,10.960663313432837,3.9096921347220377,0.012821291044776119,0.005386616665575906 diff --git a/src/gui/work_dir/6_75_custom_regression/508.936005_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/508.936005_regression_results.csv deleted file mode 100644 index 9db8b5c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/508.936005_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,508.936005,0.006500148302153508,y = 0.014525 + -0.000113*x,134,10.960663313432837,3.9096921347220377,0.013285626865671642,0.005484303548583865 -logarithmic,Chlorophyll,508.936005,0.004158811025431031,y = 0.015569 + -0.000980*ln(x),134,10.960663313432837,3.9096921347220377,0.013285626865671642,0.005484303548583865 diff --git a/src/gui/work_dir/6_75_custom_regression/513.073975_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/513.073975_regression_results.csv deleted file mode 100644 index ef2f985..0000000 --- a/src/gui/work_dir/6_75_custom_regression/513.073975_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,513.073975,0.004917130582781315,y = 0.014969 + -0.000099*x,134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -logarithmic,Chlorophyll,513.073975,0.0029641857181392783,y = 0.015828 + -0.000836*ln(x),134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -exponential,Chlorophyll,513.073975,-0.01889032090850251,y = 0.016669 * exp(-0.020406*x),134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -power,Chlorophyll,513.073975,-0.019715344472010177,y = 0.020892 * x^-0.192919,134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 diff --git a/src/gui/work_dir/6_75_custom_regression/517.216003_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/517.216003_regression_results.csv deleted file mode 100644 index 4e880b6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/517.216003_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,517.216003,0.004276559761211218,y = 0.015763 + -0.000093*x,134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -logarithmic,Chlorophyll,517.216003,0.00245772439289782,y = 0.016520 + -0.000761*ln(x),134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -exponential,Chlorophyll,517.216003,-0.018892619920322984,y = 0.017382 * exp(-0.018434*x),134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -power,Chlorophyll,517.216003,-0.0194484153066794,y = 0.021251 * x^-0.172972,134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 diff --git a/src/gui/work_dir/6_75_custom_regression/521.361023_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/521.361023_regression_results.csv deleted file mode 100644 index a2d9cd9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/521.361023_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,521.361023,0.002867645407956476,y = 0.015976 + -0.000077*x,134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -logarithmic,Chlorophyll,521.361023,0.001510103149844122,y = 0.016540 + -0.000602*ln(x),134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -exponential,Chlorophyll,521.361023,-0.013492164822140218,y = 0.017293 * exp(-0.014959*x),134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -power,Chlorophyll,521.361023,-0.01389692075440152,y = 0.020293 * x^-0.139034,134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 diff --git a/src/gui/work_dir/6_75_custom_regression/525.508972_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/525.508972_regression_results.csv deleted file mode 100644 index 64fdcf6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/525.508972_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,525.508972,0.0016701377663735917,y = 0.016584 + -0.000059*x,134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -logarithmic,Chlorophyll,525.508972,0.0007153098124390578,y = 0.016913 + -0.000419*ln(x),134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -exponential,Chlorophyll,525.508972,-0.011873247394506237,y = 0.017736 * exp(-0.012223*x),134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -power,Chlorophyll,525.508972,-0.01195937275095682,y = 0.020122 * x^-0.111667,134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 diff --git a/src/gui/work_dir/6_75_custom_regression/529.659973_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/529.659973_regression_results.csv deleted file mode 100644 index 6159e2d..0000000 --- a/src/gui/work_dir/6_75_custom_regression/529.659973_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,529.659973,0.001100615217659584,y = 0.016897 + -0.000048*x,134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -logarithmic,Chlorophyll,529.659973,0.00038742510141320796,y = 0.017089 + -0.000308*ln(x),134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -power,Chlorophyll,529.659973,-0.010602748616709512,y = 0.019984 * x^-0.095978,134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -exponential,Chlorophyll,529.659973,-0.010676230097632189,y = 0.017950 * exp(-0.010610*x),134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 diff --git a/src/gui/work_dir/6_75_custom_regression/533.815002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/533.815002_regression_results.csv deleted file mode 100644 index bd8e7f2..0000000 --- a/src/gui/work_dir/6_75_custom_regression/533.815002_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,533.815002,0.0005274884679772329,y = 0.017331 + -0.000034*x,134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -logarithmic,Chlorophyll,533.815002,9.639796014881963e-05,y = 0.017325 + -0.000156*ln(x),134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -power,Chlorophyll,533.815002,-0.010942625292486463,y = 0.020200 * x^-0.085250,134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -exponential,Chlorophyll,533.815002,-0.011375297319334177,y = 0.018394 * exp(-0.009577*x),134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 diff --git a/src/gui/work_dir/6_75_custom_regression/537.973999_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/537.973999_regression_results.csv deleted file mode 100644 index 32a220c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/537.973999_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,537.973999,0.010059827315010317,y = 0.018287 + -0.000095*x,134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -logarithmic,Chlorophyll,537.973999,0.0058263736903666485,y = 0.019072 + -0.000784*ln(x),134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -exponential,Chlorophyll,537.973999,-0.0006317634379562342,y = 0.018947 * exp(-0.009908*x),134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -power,Chlorophyll,537.973999,-0.004088770616538007,y = 0.020915 * x^-0.089031,134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 diff --git a/src/gui/work_dir/6_75_custom_regression/542.13501_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/542.13501_regression_results.csv deleted file mode 100644 index 434f967..0000000 --- a/src/gui/work_dir/6_75_custom_regression/542.13501_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,542.13501,0.10592938275035968,y = 0.019264 + -0.000164*x,134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -exponential,Chlorophyll,542.13501,0.09468361275300774,y = 0.019618 * exp(-0.011250*x),134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -logarithmic,Chlorophyll,542.13501,0.07410535895090076,y = 0.020924 + -0.001482*ln(x),134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -power,Chlorophyll,542.13501,0.06336507350101761,y = 0.022043 * x^-0.102942,134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 diff --git a/src/gui/work_dir/6_75_custom_regression/546.301025_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/546.301025_regression_results.csv deleted file mode 100644 index 52e2db6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/546.301025_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,546.301025,0.12040522641720053,y = 0.019716 + -0.000169*x,134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -exponential,Chlorophyll,546.301025,0.11002711959899414,y = 0.020039 * exp(-0.011103*x),134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -logarithmic,Chlorophyll,546.301025,0.08587624549622919,y = 0.021467 + -0.001547*ln(x),134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -power,Chlorophyll,546.301025,0.07589213783045401,y = 0.022516 * x^-0.102241,134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 diff --git a/src/gui/work_dir/6_75_custom_regression/550.468994_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/550.468994_regression_results.csv deleted file mode 100644 index 3bb3cae..0000000 --- a/src/gui/work_dir/6_75_custom_regression/550.468994_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,550.468994,0.1269569921216488,y = 0.020121 + -0.000172*x,134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -exponential,Chlorophyll,550.468994,0.1175391734287099,y = 0.020411 * exp(-0.010816*x),134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -logarithmic,Chlorophyll,550.468994,0.0907980339917791,y = 0.021903 + -0.001572*ln(x),134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -power,Chlorophyll,550.468994,0.08162875081638976,y = 0.022867 * x^-0.099639,134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 diff --git a/src/gui/work_dir/6_75_custom_regression/554.640991_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/554.640991_regression_results.csv deleted file mode 100644 index afb2dd0..0000000 --- a/src/gui/work_dir/6_75_custom_regression/554.640991_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,554.640991,0.1376426262180579,y = 0.020508 + -0.000178*x,134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -exponential,Chlorophyll,554.640991,0.12753098839026022,y = 0.020816 * exp(-0.011054*x),134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -logarithmic,Chlorophyll,554.640991,0.09810495477002423,y = 0.022354 + -0.001631*ln(x),134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -power,Chlorophyll,554.640991,0.08828430738543391,y = 0.023368 * x^-0.101637,134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 diff --git a/src/gui/work_dir/6_75_custom_regression/558.815979_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/558.815979_regression_results.csv deleted file mode 100644 index d47efd6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/558.815979_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,558.815979,0.14438886343879165,y = 0.020984 + -0.000192*x,134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -exponential,Chlorophyll,558.815979,0.13400466793505816,y = 0.021319 * exp(-0.011710*x),134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -logarithmic,Chlorophyll,558.815979,0.10606464763119816,y = 0.023038 + -0.001786*ln(x),134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -power,Chlorophyll,558.815979,0.09560595602330613,y = 0.024181 * x^-0.109152,134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 diff --git a/src/gui/work_dir/6_75_custom_regression/562.994995_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/562.994995_regression_results.csv deleted file mode 100644 index d5e55b6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/562.994995_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,562.994995,0.13570684972920022,y = 0.021065 + -0.000193*x,134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -exponential,Chlorophyll,562.994995,0.1251679621881412,y = 0.021424 * exp(-0.011845*x),134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -logarithmic,Chlorophyll,562.994995,0.10005264191024388,y = 0.023135 + -0.001797*ln(x),134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -power,Chlorophyll,562.994995,0.08944628510214314,y = 0.024352 * x^-0.110685,134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 diff --git a/src/gui/work_dir/6_75_custom_regression/567.177002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/567.177002_regression_results.csv deleted file mode 100644 index 3b1c728..0000000 --- a/src/gui/work_dir/6_75_custom_regression/567.177002_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,567.177002,0.03705163102869502,y = 0.020812 + -0.000155*x,134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -exponential,Chlorophyll,567.177002,0.02735476743599441,y = 0.021355 * exp(-0.011096*x),134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -logarithmic,Chlorophyll,567.177002,0.02624551679688847,y = 0.022403 + -0.001411*ln(x),134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -power,Chlorophyll,567.177002,0.01690050625981776,y = 0.024064 * x^-0.103446,134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 diff --git a/src/gui/work_dir/6_75_custom_regression/571.362976_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/571.362976_regression_results.csv deleted file mode 100644 index c84da45..0000000 --- a/src/gui/work_dir/6_75_custom_regression/571.362976_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,571.362976,0.032367014815650186,y = 0.020732 + -0.000161*x,134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -logarithmic,Chlorophyll,571.362976,0.023243518566287924,y = 0.022412 + -0.001479*ln(x),134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -exponential,Chlorophyll,571.362976,0.021156108573575194,y = 0.021404 * exp(-0.012237*x),134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -power,Chlorophyll,571.362976,0.012371457852355827,y = 0.024473 * x^-0.115076,134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 diff --git a/src/gui/work_dir/6_75_custom_regression/575.551025_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/575.551025_regression_results.csv deleted file mode 100644 index 6655145..0000000 --- a/src/gui/work_dir/6_75_custom_regression/575.551025_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,575.551025,0.003711200606445142,y = 0.019973 + -0.000095*x,134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -logarithmic,Chlorophyll,575.551025,0.0022851664540198824,y = 0.020813 + -0.000808*ln(x),134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -exponential,Chlorophyll,575.551025,-0.008535989595423121,y = 0.021158 * exp(-0.012309*x),134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -power,Chlorophyll,575.551025,-0.009305973499541542,y = 0.024221 * x^-0.115919,134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 diff --git a/src/gui/work_dir/6_75_custom_regression/579.744019_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/579.744019_regression_results.csv deleted file mode 100644 index a198c85..0000000 --- a/src/gui/work_dir/6_75_custom_regression/579.744019_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,579.744019,0.005094509026133509,y = 0.019711 + -0.000110*x,134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -logarithmic,Chlorophyll,579.744019,0.0034065768371064342,y = 0.020776 + -0.000974*ln(x),134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -exponential,Chlorophyll,579.744019,-0.007270136129956084,y = 0.020909 * exp(-0.013357*x),134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -power,Chlorophyll,579.744019,-0.008400608136997167,y = 0.024296 * x^-0.127275,134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 diff --git a/src/gui/work_dir/6_75_custom_regression/583.939026_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/583.939026_regression_results.csv deleted file mode 100644 index 9ad37c9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/583.939026_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,583.939026,0.004657425272328819,y = 0.019070 + -0.000108*x,134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -logarithmic,Chlorophyll,583.939026,0.003161690862374833,y = 0.020137 + -0.000968*ln(x),134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -exponential,Chlorophyll,583.939026,-0.00834323144293947,y = 0.020355 * exp(-0.014251*x),134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -power,Chlorophyll,583.939026,-0.009289166222129941,y = 0.023939 * x^-0.136644,134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 diff --git a/src/gui/work_dir/6_75_custom_regression/588.138_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/588.138_regression_results.csv deleted file mode 100644 index ffecdb5..0000000 --- a/src/gui/work_dir/6_75_custom_regression/588.138_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,588.138,0.007038900978221574,y = 0.018745 + -0.000132*x,134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -logarithmic,Chlorophyll,588.138,0.005079658860641656,y = 0.020131 + -0.001218*ln(x),134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -exponential,Chlorophyll,588.138,-0.008087990598099282,y = 0.020176 * exp(-0.016777*x),134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -power,Chlorophyll,588.138,-0.009554552395312665,y = 0.024503 * x^-0.162327,134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 diff --git a/src/gui/work_dir/6_75_custom_regression/592.341003_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/592.341003_regression_results.csv deleted file mode 100644 index 9bc1d1d..0000000 --- a/src/gui/work_dir/6_75_custom_regression/592.341003_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,592.341003,0.005528079261697849,y = 0.017838 + -0.000118*x,134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -logarithmic,Chlorophyll,592.341003,0.003887007195125136,y = 0.019044 + -0.001073*ln(x),134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -exponential,Chlorophyll,592.341003,-0.011813537096786675,y = 0.019386 * exp(-0.017528*x),134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -power,Chlorophyll,592.341003,-0.012846809152319283,y = 0.023741 * x^-0.169433,134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 diff --git a/src/gui/work_dir/6_75_custom_regression/596.546997_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/596.546997_regression_results.csv deleted file mode 100644 index cdfab45..0000000 --- a/src/gui/work_dir/6_75_custom_regression/596.546997_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,596.546997,0.003794780064093062,y = 0.016713 + -0.000101*x,134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -logarithmic,Chlorophyll,596.546997,0.0025823661966439815,y = 0.017707 + -0.000901*ln(x),134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -exponential,Chlorophyll,596.546997,-0.014874157713247849,y = 0.018368 * exp(-0.018321*x),134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -power,Chlorophyll,596.546997,-0.015374647488444415,y = 0.022702 * x^-0.177115,134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 diff --git a/src/gui/work_dir/6_75_custom_regression/600.755981_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/600.755981_regression_results.csv deleted file mode 100644 index 4f0a47b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/600.755981_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,600.755981,0.0031611200601100453,y = 0.015616 + -0.000092*x,134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -logarithmic,Chlorophyll,600.755981,0.002151138099984129,y = 0.016523 + -0.000822*ln(x),134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -exponential,Chlorophyll,600.755981,-0.015732414466808953,y = 0.017258 * exp(-0.018983*x),134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -power,Chlorophyll,600.755981,-0.016109249860633446,y = 0.021535 * x^-0.184339,134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 diff --git a/src/gui/work_dir/6_75_custom_regression/604.968994_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/604.968994_regression_results.csv deleted file mode 100644 index 68e5be4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/604.968994_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,604.968994,0.002398045183009123,y = 0.014883 + -0.000082*x,134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -logarithmic,Chlorophyll,604.968994,0.001603534119833716,y = 0.015675 + -0.000725*ln(x),134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -power,Chlorophyll,604.968994,-0.019789876685375907,y = 0.021361 * x^-0.202172,134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -exponential,Chlorophyll,604.968994,-0.019848091450597183,y = 0.016749 * exp(-0.020787*x),134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 diff --git a/src/gui/work_dir/6_75_custom_regression/609.184998_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/609.184998_regression_results.csv deleted file mode 100644 index d6d5012..0000000 --- a/src/gui/work_dir/6_75_custom_regression/609.184998_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,609.184998,0.0026364151647212397,y = 0.014491 + -0.000087*x,134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -logarithmic,Chlorophyll,609.184998,0.001802623235843237,y = 0.015351 + -0.000777*ln(x),134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -exponential,Chlorophyll,609.184998,-0.02173372426195974,y = 0.016508 * exp(-0.022851*x),134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -power,Chlorophyll,609.184998,-0.021740201254617064,y = 0.021605 * x^-0.222988,134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 diff --git a/src/gui/work_dir/6_75_custom_regression/613.403992_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/613.403992_regression_results.csv deleted file mode 100644 index 79e5c93..0000000 --- a/src/gui/work_dir/6_75_custom_regression/613.403992_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,613.403992,0.002856835284101855,y = 0.014122 + -0.000091*x,134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -logarithmic,Chlorophyll,613.403992,0.0019870205661061124,y = 0.015038 + -0.000820*ln(x),134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -power,Chlorophyll,613.403992,-0.028809677197195516,y = 0.022780 * x^-0.263141,134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -exponential,Chlorophyll,613.403992,-0.02909727099411552,y = 0.016581 * exp(-0.026956*x),134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 diff --git a/src/gui/work_dir/6_75_custom_regression/617.627014_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/617.627014_regression_results.csv deleted file mode 100644 index 1bf78cd..0000000 --- a/src/gui/work_dir/6_75_custom_regression/617.627014_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,617.627014,0.0029411042399954956,y = 0.013748 + -0.000092*x,134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -logarithmic,Chlorophyll,617.627014,0.0020597681456059336,y = 0.014681 + -0.000832*ln(x),134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -power,Chlorophyll,617.627014,-0.02980562740210102,y = 0.022702 * x^-0.275804,134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -exponential,Chlorophyll,617.627014,-0.030009751236651283,y = 0.016267 * exp(-0.028218*x),134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 diff --git a/src/gui/work_dir/6_75_custom_regression/621.853027_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/621.853027_regression_results.csv deleted file mode 100644 index 826effa..0000000 --- a/src/gui/work_dir/6_75_custom_regression/621.853027_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,621.853027,0.002549517816160085,y = 0.013405 + -0.000087*x,134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -logarithmic,Chlorophyll,621.853027,0.0017633821329291477,y = 0.014281 + -0.000787*ln(x),134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -power,Chlorophyll,621.853027,-0.03557395594809787,y = 0.023522 * x^-0.304801,134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -exponential,Chlorophyll,621.853027,-0.0360883361973503,y = 0.016274 * exp(-0.031185*x),134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 diff --git a/src/gui/work_dir/6_75_custom_regression/626.083008_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/626.083008_regression_results.csv deleted file mode 100644 index 8c47ea6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/626.083008_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,626.083008,0.00243086769672618,y = 0.013228 + -0.000086*x,134,10.960663313432837,3.9096921347220377,0.01228736567164179,0.006808151575409212 -logarithmic,Chlorophyll,626.083008,0.0016770114876123454,y = 0.014087 + -0.000773*ln(x),134,10.960663313432837,3.9096921347220377,0.01228736567164179,0.006808151575409212 diff --git a/src/gui/work_dir/6_75_custom_regression/630.315979_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/630.315979_regression_results.csv deleted file mode 100644 index 030b59b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/630.315979_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,630.315979,0.0020507276873319435,y = 0.013084 + -0.000080*x,134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -logarithmic,Chlorophyll,630.315979,0.0014098383321846653,y = 0.013886 + -0.000723*ln(x),134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -power,Chlorophyll,630.315979,-0.037502977238619506,y = 0.023711 * x^-0.319128,134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -exponential,Chlorophyll,630.315979,-0.03824118768398388,y = 0.016114 * exp(-0.032602*x),134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 diff --git a/src/gui/work_dir/6_75_custom_regression/634.552002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/634.552002_regression_results.csv deleted file mode 100644 index 7c75de3..0000000 --- a/src/gui/work_dir/6_75_custom_regression/634.552002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,634.552002,0.0017288451024077833,y = 0.012968 + -0.000074*x,134,10.960663313432837,3.9096921347220377,0.012159492537313433,0.006937426491471543 -logarithmic,Chlorophyll,634.552002,0.0011589143811774338,y = 0.013684 + -0.000654*ln(x),134,10.960663313432837,3.9096921347220377,0.012159492537313433,0.006937426491471543 diff --git a/src/gui/work_dir/6_75_custom_regression/638.791992_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/638.791992_regression_results.csv deleted file mode 100644 index e29230f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/638.791992_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,638.791992,0.0011243091081014622,y = 0.012803 + -0.000061*x,134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -logarithmic,Chlorophyll,638.791992,0.0007004467304244644,y = 0.013348 + -0.000520*ln(x),134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -power,Chlorophyll,638.791992,-0.039341503691473934,y = 0.023270 * x^-0.314552,134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -exponential,Chlorophyll,638.791992,-0.040722297966500065,y = 0.015930 * exp(-0.032288*x),134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 diff --git a/src/gui/work_dir/6_75_custom_regression/643.034973_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/643.034973_regression_results.csv deleted file mode 100644 index ca0da84..0000000 --- a/src/gui/work_dir/6_75_custom_regression/643.034973_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,643.034973,0.0006784732036110297,y = 0.012527 + -0.000048*x,134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -logarithmic,Chlorophyll,643.034973,0.0003810729347989428,y = 0.012907 + -0.000387*ln(x),134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -power,Chlorophyll,643.034973,-0.02081846389883313,y = 0.018994 * x^-0.223479,134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -exponential,Chlorophyll,643.034973,-0.02135362421636633,y = 0.014510 * exp(-0.022936*x),134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 diff --git a/src/gui/work_dir/6_75_custom_regression/647.281006_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/647.281006_regression_results.csv deleted file mode 100644 index 13abfde..0000000 --- a/src/gui/work_dir/6_75_custom_regression/647.281006_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,647.281006,0.0003862335627651259,y = 0.012126 + -0.000037*x,134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -logarithmic,Chlorophyll,647.281006,0.00018807939298448595,y = 0.012369 + -0.000276*ln(x),134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -power,Chlorophyll,647.281006,-0.01877601035356702,y = 0.017959 * x^-0.209287,134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -exponential,Chlorophyll,647.281006,-0.019328048239278806,y = 0.013958 * exp(-0.021494*x),134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 diff --git a/src/gui/work_dir/6_75_custom_regression/651.531006_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/651.531006_regression_results.csv deleted file mode 100644 index e6e9bb4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/651.531006_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,651.531006,0.00013536784274881253,y = 0.011403 + -0.000022*x,134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -logarithmic,Chlorophyll,651.531006,3.4274085199070825e-05,y = 0.011441 + -0.000119*ln(x),134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -power,Chlorophyll,651.531006,-0.01999886130480988,y = 0.017201 * x^-0.213892,134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -exponential,Chlorophyll,651.531006,-0.02080973971468425,y = 0.013316 * exp(-0.022113*x),134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 diff --git a/src/gui/work_dir/6_75_custom_regression/655.784973_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/655.784973_regression_results.csv deleted file mode 100644 index 6e0901e..0000000 --- a/src/gui/work_dir/6_75_custom_regression/655.784973_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,655.784973,6.712523797403058e-05,y = 0.010412 + -0.000016*x,134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -logarithmic,Chlorophyll,655.784973,7.939365778253382e-06,y = 0.010377 + -0.000058*ln(x),134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -power,Chlorophyll,655.784973,-0.02451200929710562,y = 0.017204 * x^-0.257829,134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -exponential,Chlorophyll,655.784973,-0.025546357658017715,y = 0.012631 * exp(-0.026616*x),134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 diff --git a/src/gui/work_dir/6_75_custom_regression/660.041016_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/660.041016_regression_results.csv deleted file mode 100644 index f82d6b9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/660.041016_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,660.041016,2.3065421406842646e-05,y = 0.009045 + -0.000009*x,134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 -logarithmic,Chlorophyll,660.041016,8.478475440609756e-07,y = 0.008902 + 0.000019*ln(x),134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 diff --git a/src/gui/work_dir/6_75_custom_regression/664.302002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/664.302002_regression_results.csv deleted file mode 100644 index 69ad651..0000000 --- a/src/gui/work_dir/6_75_custom_regression/664.302002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,664.302002,2.70996016560332e-05,y = 0.008101 + -0.000010*x,134,10.960663313432837,3.9096921347220377,0.007993440298507463,0.007397490717674307 -logarithmic,Chlorophyll,664.302002,4.148671942649784e-07,y = 0.007963 + 0.000013*ln(x),134,10.960663313432837,3.9096921347220377,0.007993440298507463,0.007397490717674307 diff --git a/src/gui/work_dir/6_75_custom_regression/668.565002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/668.565002_regression_results.csv deleted file mode 100644 index c17e168..0000000 --- a/src/gui/work_dir/6_75_custom_regression/668.565002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,668.565002,9.040046325403672e-06,y = 0.007498 + -0.000006*x,134,10.960663313432837,3.9096921347220377,0.0074355522388059704,0.007438585861600675 -logarithmic,Chlorophyll,668.565002,8.725061217407237e-06,y = 0.007294 + 0.000061*ln(x),134,10.960663313432837,3.9096921347220377,0.0074355522388059704,0.007438585861600675 diff --git a/src/gui/work_dir/6_75_custom_regression/672.83197_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/672.83197_regression_results.csv deleted file mode 100644 index e516865..0000000 --- a/src/gui/work_dir/6_75_custom_regression/672.83197_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,672.83197,2.8342079669063658e-05,y = 0.007006 + 0.000109*ln(x),134,10.960663313432837,3.9096921347220377,0.007259574626865672,0.0073841624312846075 -linear,Chlorophyll,672.83197,2.942331951416577e-07,y = 0.007271 + -0.000001*x,134,10.960663313432837,3.9096921347220377,0.007259574626865672,0.0073841624312846075 diff --git a/src/gui/work_dir/6_75_custom_regression/677.10199_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/677.10199_regression_results.csv deleted file mode 100644 index 8232fbe..0000000 --- a/src/gui/work_dir/6_75_custom_regression/677.10199_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,677.10199,7.905307206101941e-05,y = 0.007009 + 0.000182*ln(x),134,10.960663313432837,3.9096921347220377,0.007434537313432836,0.007405361783473518 -linear,Chlorophyll,677.10199,8.391699477305892e-06,y = 0.007374 + 0.000005*x,134,10.960663313432837,3.9096921347220377,0.007434537313432836,0.007405361783473518 diff --git a/src/gui/work_dir/6_75_custom_regression/681.375977_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/681.375977_regression_results.csv deleted file mode 100644 index 2d32f47..0000000 --- a/src/gui/work_dir/6_75_custom_regression/681.375977_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,681.375977,0.00035444194765099635,y = 0.007047 + 0.000397*ln(x),134,10.960663313432837,3.9096921347220377,0.007971380597014925,0.007601910615882189 -linear,Chlorophyll,681.375977,0.00018023567598490775,y = 0.007685 + 0.000026*x,134,10.960663313432837,3.9096921347220377,0.007971380597014925,0.007601910615882189 diff --git a/src/gui/work_dir/6_75_custom_regression/685.653015_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/685.653015_regression_results.csv deleted file mode 100644 index f64228a..0000000 --- a/src/gui/work_dir/6_75_custom_regression/685.653015_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,685.653015,0.0012936127446737666,y = 0.007106 + 0.000788*ln(x),134,10.960663313432837,3.9096921347220377,0.00894305223880597,0.007911710832888247 -linear,Chlorophyll,685.653015,0.0010226571268574514,y = 0.008234 + 0.000065*x,134,10.960663313432837,3.9096921347220377,0.00894305223880597,0.007911710832888247 diff --git a/src/gui/work_dir/6_75_custom_regression/689.932983_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/689.932983_regression_results.csv deleted file mode 100644 index ae023c1..0000000 --- a/src/gui/work_dir/6_75_custom_regression/689.932983_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,689.932983,0.004302680997953723,y = 0.006459 + 0.001505*ln(x),134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -linear,Chlorophyll,689.932983,0.0041204289706771036,y = 0.008475 + 0.000136*x,134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -power,Chlorophyll,689.932983,-0.011112637221193156,y = 0.010691 * x^-0.061728,134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -exponential,Chlorophyll,689.932983,-0.012347372143508784,y = 0.010039 * exp(-0.007382*x),134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 diff --git a/src/gui/work_dir/6_75_custom_regression/694.21698_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/694.21698_regression_results.csv deleted file mode 100644 index 5648a71..0000000 --- a/src/gui/work_dir/6_75_custom_regression/694.21698_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,694.21698,0.009659788549096326,y = 0.007405 + 0.001260*ln(x),134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -linear,Chlorophyll,694.21698,0.008988938182027284,y = 0.009111 + 0.000112*x,134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -power,Chlorophyll,694.21698,-0.0008894306327071888,y = 0.009130 * x^0.038452,134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -exponential,Chlorophyll,694.21698,-0.002278256235976661,y = 0.009711 * exp(0.002541*x),134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 diff --git a/src/gui/work_dir/6_75_custom_regression/698.505005_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/698.505005_regression_results.csv deleted file mode 100644 index 13076fa..0000000 --- a/src/gui/work_dir/6_75_custom_regression/698.505005_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,698.505005,0.031440304449184886,y = 0.007932 + 0.000977*ln(x),134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -linear,Chlorophyll,698.505005,0.028545786078388646,y = 0.009266 + 0.000086*x,134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -power,Chlorophyll,698.505005,0.024301556337671393,y = 0.008426 * x^0.075955,134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -exponential,Chlorophyll,698.505005,0.021173949758028887,y = 0.009382 * exp(0.006346*x),134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 diff --git a/src/gui/work_dir/6_75_custom_regression/702.794983_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/702.794983_regression_results.csv deleted file mode 100644 index 756a073..0000000 --- a/src/gui/work_dir/6_75_custom_regression/702.794983_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,702.794983,0.06296172218181084,y = 0.008305 + 0.000144*x,134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -logarithmic,Chlorophyll,702.794983,0.06154613752993454,y = 0.006284 + 0.001547*ln(x),134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -exponential,Chlorophyll,702.794983,0.05333717741162325,y = 0.008583 * exp(0.011176*x),134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -power,Chlorophyll,702.794983,0.052353333406120695,y = 0.007280 * x^0.123243,134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 diff --git a/src/gui/work_dir/6_75_custom_regression/707.088989_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/707.088989_regression_results.csv deleted file mode 100644 index 7a8eac9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/707.088989_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,707.088989,0.0722787565252282,y = 0.007176 + 0.000174*x,134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -logarithmic,Chlorophyll,707.088989,0.06798251906890818,y = 0.004820 + 0.001831*ln(x),134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -exponential,Chlorophyll,707.088989,0.05918259759570621,y = 0.007631 * exp(0.013614*x),134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -power,Chlorophyll,707.088989,0.05571330673697561,y = 0.006287 * x^0.147166,134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 diff --git a/src/gui/work_dir/6_75_custom_regression/711.387024_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/711.387024_regression_results.csv deleted file mode 100644 index d4146d4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/711.387024_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,711.387024,0.0801501663676073,y = 0.005716 + 0.000199*x,134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -logarithmic,Chlorophyll,711.387024,0.07410981134062689,y = 0.003064 + 0.002076*ln(x),134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -exponential,Chlorophyll,711.387024,0.06368164013940003,y = 0.006342 * exp(0.016959*x),134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -power,Chlorophyll,711.387024,0.05885933871457438,y = 0.005001 * x^0.181749,134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 diff --git a/src/gui/work_dir/6_75_custom_regression/715.687012_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/715.687012_regression_results.csv deleted file mode 100644 index 29d8756..0000000 --- a/src/gui/work_dir/6_75_custom_regression/715.687012_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,715.687012,0.07646592984102929,y = 0.004316 + 0.000182*x,134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -logarithmic,Chlorophyll,715.687012,0.07053737510880576,y = 0.001896 + 0.001896*ln(x),134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -exponential,Chlorophyll,715.687012,0.057012898990752126,y = 0.004952 * exp(0.018319*x),134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -power,Chlorophyll,715.687012,0.05263846505811587,y = 0.003824 * x^0.197049,134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 diff --git a/src/gui/work_dir/6_75_custom_regression/719.992004_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/719.992004_regression_results.csv deleted file mode 100644 index 2ffdfda..0000000 --- a/src/gui/work_dir/6_75_custom_regression/719.992004_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,719.992004,0.07445743675368166,y = 0.003267 + 0.000166*x,134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -logarithmic,Chlorophyll,719.992004,0.06836961037451539,y = 0.001065 + 0.001728*ln(x),134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -exponential,Chlorophyll,719.992004,0.05296886200774753,y = 0.003871 * exp(0.020260*x),134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -power,Chlorophyll,719.992004,0.048528532136251745,y = 0.002911 * x^0.217642,134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 diff --git a/src/gui/work_dir/6_75_custom_regression/724.299011_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/724.299011_regression_results.csv deleted file mode 100644 index 5e1b77b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/724.299011_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,724.299011,0.06745397553654364,y = 0.002420 + 0.000133*x,134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -logarithmic,Chlorophyll,724.299011,0.062493450238378045,y = 0.000642 + 0.001390*ln(x),134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -exponential,Chlorophyll,724.299011,0.045936345781994126,y = 0.002921 * exp(0.020727*x),134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -power,Chlorophyll,724.299011,0.04270170271520268,y = 0.002169 * x^0.225290,134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 diff --git a/src/gui/work_dir/6_75_custom_regression/728.609985_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/728.609985_regression_results.csv deleted file mode 100644 index cbad1d9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/728.609985_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,728.609985,0.043742722087426356,y = 0.001822 + 0.000088*x,134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -logarithmic,Chlorophyll,728.609985,0.04115482350546895,y = 0.000631 + 0.000926*ln(x),134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -exponential,Chlorophyll,728.609985,0.025695766879270887,y = 0.002157 * exp(0.017908*x),134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -power,Chlorophyll,728.609985,0.024423938138158685,y = 0.001657 * x^0.197225,134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 diff --git a/src/gui/work_dir/6_75_custom_regression/732.924988_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/732.924988_regression_results.csv deleted file mode 100644 index e17560b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/732.924988_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,732.924988,0.013546034482326164,y = 0.001304 + 0.000072*x,134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -logarithmic,Chlorophyll,732.924988,0.013045034204567596,y = 0.000305 + 0.000769*ln(x),134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -power,Chlorophyll,732.924988,-0.0016075191011517553,y = 0.001527 * x^0.092327,134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -exponential,Chlorophyll,732.924988,-0.002218314899776086,y = 0.001749 * exp(0.007256*x),134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 diff --git a/src/gui/work_dir/6_75_custom_regression/737.242004_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/737.242004_regression_results.csv deleted file mode 100644 index ce0a6b3..0000000 --- a/src/gui/work_dir/6_75_custom_regression/737.242004_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,737.242004,0.01274011186937285,y = 0.000153 + 0.000183*x,134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -logarithmic,Chlorophyll,737.242004,0.011709594088295416,y = -0.002273 + 0.001903*ln(x),134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -power,Chlorophyll,737.242004,-0.004968418579431422,y = 0.001306 * x^0.096424,134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -exponential,Chlorophyll,737.242004,-0.0051926295251412125,y = 0.001506 * exp(0.007477*x),134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 diff --git a/src/gui/work_dir/6_75_custom_regression/741.564026_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/741.564026_regression_results.csv deleted file mode 100644 index c70bd46..0000000 --- a/src/gui/work_dir/6_75_custom_regression/741.564026_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,741.564026,0.01237420528041,y = -0.000778 + 0.000290*x,134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -logarithmic,Chlorophyll,741.564026,0.011168399659673534,y = -0.004556 + 0.002987*ln(x),134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -power,Chlorophyll,741.564026,-0.006382018366340336,y = 0.001343 * x^0.060248,134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -exponential,Chlorophyll,741.564026,-0.006486914714434855,y = 0.001471 * exp(0.004477*x),134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 diff --git a/src/gui/work_dir/6_75_custom_regression/745.888_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/745.888_regression_results.csv deleted file mode 100644 index a53f64f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/745.888_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,745.888,0.01208622807607107,y = -0.000537 + 0.000255*x,134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -logarithmic,Chlorophyll,745.888,0.010783256099801686,y = -0.003818 + 0.002607*ln(x),134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -exponential,Chlorophyll,745.888,-0.006541603078447977,y = 0.001459 * exp(0.002645*x),134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -power,Chlorophyll,745.888,-0.006568012798676248,y = 0.001406 * x^0.028233,134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 diff --git a/src/gui/work_dir/6_75_custom_regression/750.216003_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/750.216003_regression_results.csv deleted file mode 100644 index 26f5850..0000000 --- a/src/gui/work_dir/6_75_custom_regression/750.216003_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,750.216003,0.01149077406645782,y = -0.000338 + 0.000223*x,134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -logarithmic,Chlorophyll,750.216003,0.010336178508392302,y = -0.003238 + 0.002295*ln(x),134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -power,Chlorophyll,750.216003,-0.007024448671629768,y = 0.001432 * x^-0.001028,134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -exponential,Chlorophyll,750.216003,-0.007146981046715295,y = 0.001443 * exp(-0.000923*x),134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 diff --git a/src/gui/work_dir/6_75_custom_regression/754.546997_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/754.546997_regression_results.csv deleted file mode 100644 index dc6bcb3..0000000 --- a/src/gui/work_dir/6_75_custom_regression/754.546997_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,754.546997,0.011676905008792149,y = -0.001694 + 0.000351*x,134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -logarithmic,Chlorophyll,754.546997,0.010451547578783416,y = -0.006234 + 0.003601*ln(x),134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -power,Chlorophyll,754.546997,-0.008219467609217102,y = 0.001485 * x^-0.141847,134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -exponential,Chlorophyll,754.546997,-0.008391038873995615,y = 0.001256 * exp(-0.014916*x),134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 diff --git a/src/gui/work_dir/6_75_custom_regression/758.882019_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/758.882019_regression_results.csv deleted file mode 100644 index 0758375..0000000 --- a/src/gui/work_dir/6_75_custom_regression/758.882019_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,758.882019,0.02592512089319743,y = 0.000332 + 0.000117*x,134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -logarithmic,Chlorophyll,758.882019,0.023289682011479407,y = -0.001184 + 0.001201*ln(x),134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -exponential,Chlorophyll,758.882019,0.0076383999092375365,y = 0.000992 * exp(0.028888*x),134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -power,Chlorophyll,758.882019,0.0061542760831626575,y = 0.000678 * x^0.299540,134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 diff --git a/src/gui/work_dir/6_75_custom_regression/763.219971_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/763.219971_regression_results.csv deleted file mode 100644 index 8762355..0000000 --- a/src/gui/work_dir/6_75_custom_regression/763.219971_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,763.219971,0.016331099062929955,y = -0.000309 + 0.000207*x,134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -logarithmic,Chlorophyll,763.219971,0.014364159452194492,y = -0.002937 + 0.002101*ln(x),134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -exponential,Chlorophyll,763.219971,-0.002879629869520839,y = 0.001084 * exp(0.023081*x),134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -power,Chlorophyll,763.219971,-0.0036347268087895124,y = 0.000823 * x^0.227200,134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 diff --git a/src/gui/work_dir/6_75_custom_regression/767.562012_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/767.562012_regression_results.csv deleted file mode 100644 index 4f28263..0000000 --- a/src/gui/work_dir/6_75_custom_regression/767.562012_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,767.562012,0.013734746280580246,y = 0.000053 + 0.000156*x,134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -logarithmic,Chlorophyll,767.562012,0.012255690731871494,y = -0.001952 + 0.001593*ln(x),134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -exponential,Chlorophyll,767.562012,-0.004092583942566952,y = 0.001165 * exp(0.012080*x),134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -power,Chlorophyll,767.562012,-0.00439521419002209,y = 0.000996 * x^0.123809,134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 diff --git a/src/gui/work_dir/6_75_custom_regression/771.906982_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/771.906982_regression_results.csv deleted file mode 100644 index 1c7d459..0000000 --- a/src/gui/work_dir/6_75_custom_regression/771.906982_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,771.906982,0.016320574765209428,y = 0.000317 + 0.000110*x,134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -logarithmic,Chlorophyll,771.906982,0.014546529767741512,y = -0.001099 + 0.001125*ln(x),134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -exponential,Chlorophyll,771.906982,-0.0007298834218001371,y = 0.001025 * exp(0.017660*x),134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -power,Chlorophyll,771.906982,-0.0014459883223563175,y = 0.000819 * x^0.179543,134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 diff --git a/src/gui/work_dir/6_75_custom_regression/776.255005_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/776.255005_regression_results.csv deleted file mode 100644 index 9fd8fd5..0000000 --- a/src/gui/work_dir/6_75_custom_regression/776.255005_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,776.255005,0.013796046606459278,y = 0.000740 + 0.000072*x,134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -logarithmic,Chlorophyll,776.255005,0.012092441153714883,y = -0.000167 + 0.000726*ln(x),134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -exponential,Chlorophyll,776.255005,-0.0025031550633876076,y = 0.001209 * exp(0.008693*x),134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -power,Chlorophyll,776.255005,-0.0031841408353259215,y = 0.001093 * x^0.084233,134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 diff --git a/src/gui/work_dir/6_75_custom_regression/780.606995_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/780.606995_regression_results.csv deleted file mode 100644 index d34db28..0000000 --- a/src/gui/work_dir/6_75_custom_regression/780.606995_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,780.606995,0.020495592564976572,y = 0.000739 + 0.000066*x,134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -logarithmic,Chlorophyll,780.606995,0.01933435376928716,y = -0.000155 + 0.000694*ln(x),134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -power,Chlorophyll,780.606995,0.00417461173259015,y = 0.000868 * x^0.177284,134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -exponential,Chlorophyll,780.606995,0.004156141926620949,y = 0.001105 * exp(0.015635*x),134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 diff --git a/src/gui/work_dir/6_75_custom_regression/784.961975_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/784.961975_regression_results.csv deleted file mode 100644 index 29541df..0000000 --- a/src/gui/work_dir/6_75_custom_regression/784.961975_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,784.961975,0.021755422019536175,y = 0.000788 + 0.000057*x,134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -logarithmic,Chlorophyll,784.961975,0.017664886852162054,y = 0.000116 + 0.000556*ln(x),134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -exponential,Chlorophyll,784.961975,0.0034422768172869267,y = 0.001109 * exp(0.012988*x),134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -power,Chlorophyll,784.961975,0.0003808059654853979,y = 0.000984 * x^0.112589,134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 diff --git a/src/gui/work_dir/6_75_custom_regression/789.320007_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/789.320007_regression_results.csv deleted file mode 100644 index 37a39f5..0000000 --- a/src/gui/work_dir/6_75_custom_regression/789.320007_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,789.320007,0.043367659619824805,y = 0.000649 + 0.000082*x,134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -logarithmic,Chlorophyll,789.320007,0.038409875145745676,y = -0.000395 + 0.000832*ln(x),134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -exponential,Chlorophyll,789.320007,0.026002389448048557,y = 0.001020 * exp(0.028931*x),134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -power,Chlorophyll,789.320007,0.022165630417928628,y = 0.000698 * x^0.299052,134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 diff --git a/src/gui/work_dir/6_75_custom_regression/793.682007_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/793.682007_regression_results.csv deleted file mode 100644 index 2c77612..0000000 --- a/src/gui/work_dir/6_75_custom_regression/793.682007_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,793.682007,0.045606716978680684,y = 0.000690 + 0.000084*x,134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -logarithmic,Chlorophyll,793.682007,0.03840486464660908,y = -0.000341 + 0.000839*ln(x),134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -exponential,Chlorophyll,793.682007,0.025844197165889593,y = 0.001092 * exp(0.026877*x),134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -power,Chlorophyll,793.682007,0.0197310845605696,y = 0.000795 * x^0.262671,134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 diff --git a/src/gui/work_dir/6_75_custom_regression/798.046997_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/798.046997_regression_results.csv deleted file mode 100644 index 98a4cad..0000000 --- a/src/gui/work_dir/6_75_custom_regression/798.046997_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,798.046997,0.05291687536605305,y = 0.000563 + 0.000098*x,134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -logarithmic,Chlorophyll,798.046997,0.04472311171573551,y = -0.000641 + 0.000979*ln(x),134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -exponential,Chlorophyll,798.046997,0.028058328916172992,y = 0.001060 * exp(0.029439*x),134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -power,Chlorophyll,798.046997,0.021436519217983063,y = 0.000744 * x^0.290697,134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 diff --git a/src/gui/work_dir/6_75_custom_regression/802.416016_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/802.416016_regression_results.csv deleted file mode 100644 index 1053605..0000000 --- a/src/gui/work_dir/6_75_custom_regression/802.416016_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,802.416016,0.060413004491346234,y = 0.000466 + 0.000109*x,134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -logarithmic,Chlorophyll,802.416016,0.05101453638227127,y = -0.000866 + 0.001084*ln(x),134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -exponential,Chlorophyll,802.416016,0.0330704948210061,y = 0.001022 * exp(0.032943*x),134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -power,Chlorophyll,802.416016,0.025369073855778357,y = 0.000686 * x^0.325774,134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 diff --git a/src/gui/work_dir/6_75_custom_regression/806.788025_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/806.788025_regression_results.csv deleted file mode 100644 index 8d01aef..0000000 --- a/src/gui/work_dir/6_75_custom_regression/806.788025_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,806.788025,0.05998246946359442,y = 0.000383 + 0.000114*x,134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -logarithmic,Chlorophyll,806.788025,0.05004260064643584,y = -0.000997 + 0.001129*ln(x),134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -exponential,Chlorophyll,806.788025,0.03073454834672984,y = 0.000982 * exp(0.033910*x),134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -power,Chlorophyll,806.788025,0.022446700301405054,y = 0.000662 * x^0.328791,134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 diff --git a/src/gui/work_dir/6_75_custom_regression/811.164001_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/811.164001_regression_results.csv deleted file mode 100644 index d4d8b92..0000000 --- a/src/gui/work_dir/6_75_custom_regression/811.164001_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,811.164001,0.06199436327274466,y = 0.000193 + 0.000119*x,134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -logarithmic,Chlorophyll,811.164001,0.05345700266587472,y = -0.001285 + 0.001192*ln(x),134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -exponential,Chlorophyll,811.164001,0.03466499966616288,y = 0.000817 * exp(0.041038*x),134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -power,Chlorophyll,811.164001,0.02774987016970709,y = 0.000489 * x^0.413598,134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 diff --git a/src/gui/work_dir/6_75_custom_regression/815.541992_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/815.541992_regression_results.csv deleted file mode 100644 index 35520a2..0000000 --- a/src/gui/work_dir/6_75_custom_regression/815.541992_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,815.541992,0.05377501182020772,y = 0.000336 + 0.000106*x,134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -logarithmic,Chlorophyll,815.541992,0.04541196710758344,y = -0.000959 + 0.001053*ln(x),134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -exponential,Chlorophyll,815.541992,0.029780387106763118,y = 0.000871 * exp(0.036764*x),134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -power,Chlorophyll,815.541992,0.02259630556998271,y = 0.000564 * x^0.358942,134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 diff --git a/src/gui/work_dir/6_75_custom_regression/819.924988_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/819.924988_regression_results.csv deleted file mode 100644 index f67158f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/819.924988_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,819.924988,0.046060394085339684,y = 0.000183 + 0.000105*x,134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -logarithmic,Chlorophyll,819.924988,0.04124143103053901,y = -0.001180 + 0.001081*ln(x),134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -exponential,Chlorophyll,819.924988,0.024172923620458642,y = 0.000721 * exp(0.041558*x),134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -power,Chlorophyll,819.924988,0.020698277367864337,y = 0.000415 * x^0.432441,134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 diff --git a/src/gui/work_dir/6_75_custom_regression/824.309998_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/824.309998_regression_results.csv deleted file mode 100644 index d05fcaf..0000000 --- a/src/gui/work_dir/6_75_custom_regression/824.309998_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,824.309998,0.019229517688291176,y = 0.000174 + 0.000100*x,134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -logarithmic,Chlorophyll,824.309998,0.017049456706681787,y = -0.001101 + 0.001016*ln(x),134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -exponential,Chlorophyll,824.309998,-0.0013691164176472537,y = 0.000805 * exp(0.020115*x),134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -power,Chlorophyll,824.309998,-0.00228368459628836,y = 0.000624 * x^0.203487,134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 diff --git a/src/gui/work_dir/6_75_custom_regression/828.698975_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/828.698975_regression_results.csv deleted file mode 100644 index c5adfad..0000000 --- a/src/gui/work_dir/6_75_custom_regression/828.698975_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,828.698975,0.021582205152547496,y = -0.000706 + 0.000171*x,134,10.960663313432837,3.9096921347220377,0.0011649477611940298,0.004543819230423196 -logarithmic,Chlorophyll,828.698975,0.01910220662486728,y = -0.002889 + 0.001740*ln(x),134,10.960663313432837,3.9096921347220377,0.0011649477611940298,0.004543819230423196 diff --git a/src/gui/work_dir/6_75_custom_regression/833.09198_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/833.09198_regression_results.csv deleted file mode 100644 index 52af221..0000000 --- a/src/gui/work_dir/6_75_custom_regression/833.09198_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,833.09198,0.019106777392842944,y = -0.000521 + 0.000152*x,134,10.960663313432837,3.9096921347220377,0.0011438880597014925,0.004296265257070513 -logarithmic,Chlorophyll,833.09198,0.017688466235980305,y = -0.002545 + 0.001583*ln(x),134,10.960663313432837,3.9096921347220377,0.0011438880597014925,0.004296265257070513 diff --git a/src/gui/work_dir/6_75_custom_regression/837.487_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/837.487_regression_results.csv deleted file mode 100644 index 6b7d6e7..0000000 --- a/src/gui/work_dir/6_75_custom_regression/837.487_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,837.487,0.01745847226311259,y = -0.000612 + 0.000154*x,134,10.960663313432837,3.9096921347220377,0.0010808880597014926,0.00456947731205439 -logarithmic,Chlorophyll,837.487,0.015969564742421505,y = -0.002647 + 0.001600*ln(x),134,10.960663313432837,3.9096921347220377,0.0010808880597014926,0.00456947731205439 diff --git a/src/gui/work_dir/6_75_custom_regression/841.887024_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/841.887024_regression_results.csv deleted file mode 100644 index 9e5ce20..0000000 --- a/src/gui/work_dir/6_75_custom_regression/841.887024_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,841.887024,0.020571912766418676,y = -0.000836 + 0.000165*x,134,10.960663313432837,3.9096921347220377,0.000975223880597015,0.004505175408054626 -logarithmic,Chlorophyll,841.887024,0.01857954883427715,y = -0.002989 + 0.001702*ln(x),134,10.960663313432837,3.9096921347220377,0.000975223880597015,0.004505175408054626 diff --git a/src/gui/work_dir/6_75_custom_regression/846.289001_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/846.289001_regression_results.csv deleted file mode 100644 index 052e683..0000000 --- a/src/gui/work_dir/6_75_custom_regression/846.289001_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,846.289001,0.017666193062245705,y = -0.000573 + 0.000159*x,134,10.960663313432837,3.9096921347220377,0.0011751492537313433,0.004690356775258772 -logarithmic,Chlorophyll,846.289001,0.015209283936141516,y = -0.002559 + 0.001603*ln(x),134,10.960663313432837,3.9096921347220377,0.0011751492537313433,0.004690356775258772 diff --git a/src/gui/work_dir/6_75_custom_regression/850.695007_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/850.695007_regression_results.csv deleted file mode 100644 index 39f93eb..0000000 --- a/src/gui/work_dir/6_75_custom_regression/850.695007_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,850.695007,0.020034265491308823,y = -0.000830 + 0.000168*x,134,10.960663313432837,3.9096921347220377,0.0010073805970149251,0.004629553145314909 -logarithmic,Chlorophyll,850.695007,0.01744543460758463,y = -0.002940 + 0.001694*ln(x),134,10.960663313432837,3.9096921347220377,0.0010073805970149251,0.004629553145314909 diff --git a/src/gui/work_dir/6_75_custom_regression/855.104004_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/855.104004_regression_results.csv deleted file mode 100644 index 9732f8a..0000000 --- a/src/gui/work_dir/6_75_custom_regression/855.104004_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,855.104004,0.015865352453769743,y = -0.000772 + 0.000165*x,134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 -logarithmic,Chlorophyll,855.104004,0.01432846575764024,y = -0.002925 + 0.001702*ln(x),134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 diff --git a/src/gui/work_dir/6_75_custom_regression/859.517029_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/859.517029_regression_results.csv deleted file mode 100644 index d08971c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/859.517029_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,859.517029,0.019429355449413932,y = -0.000838 + 0.000167*x,134,10.960663313432837,3.9096921347220377,0.0009975746268656716,0.004697662523503507 -logarithmic,Chlorophyll,859.517029,0.01692099708734196,y = -0.002948 + 0.001693*ln(x),134,10.960663313432837,3.9096921347220377,0.0009975746268656716,0.004697662523503507 diff --git a/src/gui/work_dir/6_75_custom_regression/863.932983_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/863.932983_regression_results.csv deleted file mode 100644 index 22d3d11..0000000 --- a/src/gui/work_dir/6_75_custom_regression/863.932983_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,863.932983,0.018492121363953173,y = -0.001032 + 0.000194*x,134,10.960663313432837,3.9096921347220377,0.001096402985074627,0.005584099891548954 -logarithmic,Chlorophyll,863.932983,0.01657550912114314,y = -0.003545 + 0.001992*ln(x),134,10.960663313432837,3.9096921347220377,0.001096402985074627,0.005584099891548954 diff --git a/src/gui/work_dir/6_75_custom_regression/868.353027_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/868.353027_regression_results.csv deleted file mode 100644 index 2c0903c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/868.353027_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,868.353027,0.023856603861747816,y = -0.001298 + 0.000212*x,134,10.960663313432837,3.9096921347220377,0.001024410447761194,0.005364012357399879 -logarithmic,Chlorophyll,868.353027,0.02163307555513183,y = -0.004069 + 0.002186*ln(x),134,10.960663313432837,3.9096921347220377,0.001024410447761194,0.005364012357399879 diff --git a/src/gui/work_dir/6_75_custom_regression/872.776001_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/872.776001_regression_results.csv deleted file mode 100644 index 02df1eb..0000000 --- a/src/gui/work_dir/6_75_custom_regression/872.776001_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,872.776001,0.01720822389418175,y = -0.000913 + 0.000184*x,134,10.960663313432837,3.9096921347220377,0.0011064925373134328,0.0054913284581254935 -logarithmic,Chlorophyll,872.776001,0.015351856894195048,y = -0.003286 + 0.001885*ln(x),134,10.960663313432837,3.9096921347220377,0.0011064925373134328,0.0054913284581254935 diff --git a/src/gui/work_dir/6_75_custom_regression/877.202026_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/877.202026_regression_results.csv deleted file mode 100644 index 6b98bb8..0000000 --- a/src/gui/work_dir/6_75_custom_regression/877.202026_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,877.202026,0.02114400380397219,y = -0.001279 + 0.000211*x,134,10.960663313432837,3.9096921347220377,0.0010304626865671645,0.005664719391631075 -logarithmic,Chlorophyll,877.202026,0.018654803312690205,y = -0.003965 + 0.002144*ln(x),134,10.960663313432837,3.9096921347220377,0.0010304626865671645,0.005664719391631075 diff --git a/src/gui/work_dir/6_75_custom_regression/881.632019_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/881.632019_regression_results.csv deleted file mode 100644 index 3258e4b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/881.632019_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,881.632019,0.024894268838071443,y = -0.001506 + 0.000231*x,134,10.960663313432837,3.9096921347220377,0.0010241940298507462,0.005720007686402323 -logarithmic,Chlorophyll,881.632019,0.02231090779764633,y = -0.004492 + 0.002367*ln(x),134,10.960663313432837,3.9096921347220377,0.0010241940298507462,0.005720007686402323 diff --git a/src/gui/work_dir/6_75_custom_regression/886.065002_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/886.065002_regression_results.csv deleted file mode 100644 index 13907e5..0000000 --- a/src/gui/work_dir/6_75_custom_regression/886.065002_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,886.065002,0.02653029310980104,y = -0.001332 + 0.000214*x,134,10.960663313432837,3.9096921347220377,0.0010117611940298505,0.005133157202769544 -logarithmic,Chlorophyll,886.065002,0.02415132163213396,y = -0.004138 + 0.002210*ln(x),134,10.960663313432837,3.9096921347220377,0.0010117611940298505,0.005133157202769544 diff --git a/src/gui/work_dir/6_75_custom_regression/890.502014_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/890.502014_regression_results.csv deleted file mode 100644 index 18c896c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/890.502014_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,890.502014,0.019079011868917917,y = -0.001258 + 0.000208*x,134,10.960663313432837,3.9096921347220377,0.0010267611940298507,0.0058991462652988715 -logarithmic,Chlorophyll,890.502014,0.016625122108838264,y = -0.003884 + 0.002108*ln(x),134,10.960663313432837,3.9096921347220377,0.0010267611940298507,0.0058991462652988715 diff --git a/src/gui/work_dir/6_75_custom_regression/894.940979_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/894.940979_regression_results.csv deleted file mode 100644 index 359e5d4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/894.940979_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,894.940979,0.024644485205488564,y = -0.001350 + 0.000227*x,134,10.960663313432837,3.9096921347220377,0.0011329776119402986,0.005641248295840176 -logarithmic,Chlorophyll,894.940979,0.02251331717376026,y = -0.004332 + 0.002345*ln(x),134,10.960663313432837,3.9096921347220377,0.0011329776119402986,0.005641248295840176 diff --git a/src/gui/work_dir/6_75_custom_regression/899.38501_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/899.38501_regression_results.csv deleted file mode 100644 index f58780b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/899.38501_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,899.38501,0.03288381652407146,y = -0.001508 + 0.000260*x,134,10.960663313432837,3.9096921347220377,0.0013370597014925373,0.005596229357905776 -logarithmic,Chlorophyll,899.38501,0.03016565326116205,y = -0.004938 + 0.002693*ln(x),134,10.960663313432837,3.9096921347220377,0.0013370597014925373,0.005596229357905776 diff --git a/src/gui/work_dir/6_75_custom_regression/903.830994_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/903.830994_regression_results.csv deleted file mode 100644 index 1205d96..0000000 --- a/src/gui/work_dir/6_75_custom_regression/903.830994_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,903.830994,0.035029971829793505,y = -0.001832 + 0.000272*x,134,10.960663313432837,3.9096921347220377,0.0011536194029850746,0.005689943105970018 -logarithmic,Chlorophyll,903.830994,0.032438784908441876,y = -0.005463 + 0.002840*ln(x),134,10.960663313432837,3.9096921347220377,0.0011536194029850746,0.005689943105970018 diff --git a/src/gui/work_dir/6_75_custom_regression/908.281006_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/908.281006_regression_results.csv deleted file mode 100644 index a58d4ec..0000000 --- a/src/gui/work_dir/6_75_custom_regression/908.281006_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,908.281006,0.04451101443584671,y = -0.002025 + 0.000326*x,134,10.960663313432837,3.9096921347220377,0.0015535074626865672,0.006050183384103955 -logarithmic,Chlorophyll,908.281006,0.04098727272198477,y = -0.006354 + 0.003394*ln(x),134,10.960663313432837,3.9096921347220377,0.0015535074626865672,0.006050183384103955 diff --git a/src/gui/work_dir/6_75_custom_regression/912.734985_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/912.734985_regression_results.csv deleted file mode 100644 index a3c5371..0000000 --- a/src/gui/work_dir/6_75_custom_regression/912.734985_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,912.734985,0.04418194647792806,y = -0.002162 + 0.000344*x,134,10.960663313432837,3.9096921347220377,0.0016077238805970152,0.006397218804971693 -logarithmic,Chlorophyll,912.734985,0.03771808632859286,y = -0.006413 + 0.003443*ln(x),134,10.960663313432837,3.9096921347220377,0.0016077238805970152,0.006397218804971693 diff --git a/src/gui/work_dir/6_75_custom_regression/917.192017_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/917.192017_regression_results.csv deleted file mode 100644 index e694512..0000000 --- a/src/gui/work_dir/6_75_custom_regression/917.192017_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,917.192017,0.04798422256578916,y = -0.001730 + 0.000296*x,134,10.960663313432837,3.9096921347220377,0.0015105074626865674,0.005276653162112126 -logarithmic,Chlorophyll,917.192017,0.04314471524553409,y = -0.005566 + 0.003037*ln(x),134,10.960663313432837,3.9096921347220377,0.0015105074626865674,0.005276653162112126 diff --git a/src/gui/work_dir/6_75_custom_regression/921.651978_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/921.651978_regression_results.csv deleted file mode 100644 index 0239719..0000000 --- a/src/gui/work_dir/6_75_custom_regression/921.651978_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,921.651978,0.032258841220259904,y = -0.001537 + 0.000282*x,134,10.960663313432837,3.9096921347220377,0.0015546641791044776,0.0061404282666335346 -logarithmic,Chlorophyll,921.651978,0.028570814973279623,y = -0.005146 + 0.002876*ln(x),134,10.960663313432837,3.9096921347220377,0.0015546641791044776,0.0061404282666335346 diff --git a/src/gui/work_dir/6_75_custom_regression/926.116028_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/926.116028_regression_results.csv deleted file mode 100644 index 7694fa0..0000000 --- a/src/gui/work_dir/6_75_custom_regression/926.116028_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,926.116028,0.03700908239110634,y = -0.001467 + 0.000302*x,134,10.960663313432837,3.9096921347220377,0.0018425149253731344,0.0061359449742797705 -logarithmic,Chlorophyll,926.116028,0.03201058133428225,y = -0.005245 + 0.003042*ln(x),134,10.960663313432837,3.9096921347220377,0.0018425149253731344,0.0061359449742797705 diff --git a/src/gui/work_dir/6_75_custom_regression/930.583008_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/930.583008_regression_results.csv deleted file mode 100644 index d7c0dbc..0000000 --- a/src/gui/work_dir/6_75_custom_regression/930.583008_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,930.583008,0.13672053325122402,y = -0.002670 + 0.000668*x,134,10.960663313432837,3.9096921347220377,0.0046567164179104475,0.007068415565467862 -logarithmic,Chlorophyll,930.583008,0.12021219690890728,y = -0.011165 + 0.006791*ln(x),134,10.960663313432837,3.9096921347220377,0.0046567164179104475,0.007068415565467862 diff --git a/src/gui/work_dir/6_75_custom_regression/935.052979_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/935.052979_regression_results.csv deleted file mode 100644 index 186be39..0000000 --- a/src/gui/work_dir/6_75_custom_regression/935.052979_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,935.052979,0.10169174465005926,y = -0.003412 + 0.000844*x,134,10.960663313432837,3.9096921347220377,0.005836611940298507,0.010344714149481574 -logarithmic,Chlorophyll,935.052979,0.0879115642867252,y = -0.013965 + 0.008499*ln(x),134,10.960663313432837,3.9096921347220377,0.005836611940298507,0.010344714149481574 diff --git a/src/gui/work_dir/6_75_custom_regression/939.526978_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/939.526978_regression_results.csv deleted file mode 100644 index ef1ced2..0000000 --- a/src/gui/work_dir/6_75_custom_regression/939.526978_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,939.526978,0.05650685234330488,y = -0.000266 + 0.000446*x,134,10.960663313432837,3.9096921347220377,0.004626597014925373,0.007341116269097569 -logarithmic,Chlorophyll,939.526978,0.042500038847443355,y = -0.005144 + 0.004194*ln(x),134,10.960663313432837,3.9096921347220377,0.004626597014925373,0.007341116269097569 diff --git a/src/gui/work_dir/6_75_custom_regression/944.004028_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/944.004028_regression_results.csv deleted file mode 100644 index 95d458e..0000000 --- a/src/gui/work_dir/6_75_custom_regression/944.004028_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,944.004028,0.1409144061847427,y = -0.005615 + 0.001030*x,134,10.960663313432837,3.9096921347220377,0.005671529850746269,0.010724721720420173 -logarithmic,Chlorophyll,944.004028,0.11738954814724845,y = -0.018051 + 0.010182*ln(x),134,10.960663313432837,3.9096921347220377,0.005671529850746269,0.010724721720420173 diff --git a/src/gui/work_dir/6_75_custom_regression/948.484985_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/948.484985_regression_results.csv deleted file mode 100644 index 8b0517f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/948.484985_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,948.484985,0.1278834494635377,y = -0.005245 + 0.000898*x,134,10.960663313432837,3.9096921347220377,0.0045965970149253734,0.009816821927842846 -logarithmic,Chlorophyll,948.484985,0.1051196488753805,y = -0.015952 + 0.008819*ln(x),134,10.960663313432837,3.9096921347220377,0.0045965970149253734,0.009816821927842846 diff --git a/src/gui/work_dir/6_75_custom_regression/952.968994_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/952.968994_regression_results.csv deleted file mode 100644 index d20c740..0000000 --- a/src/gui/work_dir/6_75_custom_regression/952.968994_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,952.968994,0.13249227032536504,y = -0.004853 + 0.000973*x,134,10.960663313432837,3.9096921347220377,0.005810186567164179,0.010449515267032196 -logarithmic,Chlorophyll,952.968994,0.11335983785512993,y = -0.016904 + 0.009749*ln(x),134,10.960663313432837,3.9096921347220377,0.005810186567164179,0.010449515267032196 diff --git a/src/gui/work_dir/6_75_custom_regression/957.455994_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/957.455994_regression_results.csv deleted file mode 100644 index 3f2f5eb..0000000 --- a/src/gui/work_dir/6_75_custom_regression/957.455994_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,957.455994,0.1277239788554937,y = -0.004033 + 0.000880*x,134,10.960663313432837,3.9096921347220377,0.005609776119402986,0.009624500382955951 -logarithmic,Chlorophyll,957.455994,0.10417499490400162,y = -0.014445 + 0.008608*ln(x),134,10.960663313432837,3.9096921347220377,0.005609776119402986,0.009624500382955951 diff --git a/src/gui/work_dir/6_75_custom_regression/961.947021_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/961.947021_regression_results.csv deleted file mode 100644 index 261bfe9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/961.947021_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,961.947021,0.0855760468457214,y = -0.002892 + 0.000704*x,134,10.960663313432837,3.9096921347220377,0.004827671641791044,0.009412852176738786 -logarithmic,Chlorophyll,961.947021,0.07127076265553767,y = -0.011396 + 0.006963*ln(x),134,10.960663313432837,3.9096921347220377,0.004827671641791044,0.009412852176738786 diff --git a/src/gui/work_dir/6_75_custom_regression/966.440979_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/966.440979_regression_results.csv deleted file mode 100644 index bfe8913..0000000 --- a/src/gui/work_dir/6_75_custom_regression/966.440979_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,966.440979,0.06587183855631606,y = -0.002339 + 0.000555*x,134,10.960663313432837,3.9096921347220377,0.0037471417910447764,0.008458583491864964 -logarithmic,Chlorophyll,966.440979,0.05598365214189571,y = -0.009174 + 0.005546*ln(x),134,10.960663313432837,3.9096921347220377,0.0037471417910447764,0.008458583491864964 diff --git a/src/gui/work_dir/6_75_custom_regression/970.937988_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/970.937988_regression_results.csv deleted file mode 100644 index d0a3e1b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/970.937988_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,970.937988,0.06413196906396867,y = -0.002253 + 0.000547*x,134,10.960663313432837,3.9096921347220377,0.003736731343283582,0.008437412920646661 -logarithmic,Chlorophyll,970.937988,0.05344664644444186,y = -0.008857 + 0.005405*ln(x),134,10.960663313432837,3.9096921347220377,0.003736731343283582,0.008437412920646661 diff --git a/src/gui/work_dir/6_75_custom_regression/975.439026_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/975.439026_regression_results.csv deleted file mode 100644 index a330c24..0000000 --- a/src/gui/work_dir/6_75_custom_regression/975.439026_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,975.439026,0.050655072210295304,y = -0.001347 + 0.000485*x,134,10.960663313432837,3.9096921347220377,0.0039709179104477615,0.008428953291941944 -logarithmic,Chlorophyll,975.439026,0.04004538724688922,y = -0.006919 + 0.004674*ln(x),134,10.960663313432837,3.9096921347220377,0.0039709179104477615,0.008428953291941944 diff --git a/src/gui/work_dir/6_75_custom_regression/979.94397_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/979.94397_regression_results.csv deleted file mode 100644 index 1529db7..0000000 --- a/src/gui/work_dir/6_75_custom_regression/979.94397_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,979.94397,0.053125261271666835,y = -0.001269 + 0.000527*x,134,10.960663313432837,3.9096921347220377,0.004507320895522388,0.008938622789175931 -logarithmic,Chlorophyll,979.94397,0.04229638596970631,y = -0.007361 + 0.005094*ln(x),134,10.960663313432837,3.9096921347220377,0.004507320895522388,0.008938622789175931 diff --git a/src/gui/work_dir/6_75_custom_regression/984.450989_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/984.450989_regression_results.csv deleted file mode 100644 index 5cad33e..0000000 --- a/src/gui/work_dir/6_75_custom_regression/984.450989_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,984.450989,0.08789645152127279,y = -0.003521 + 0.000676*x,134,10.960663313432837,3.9096921347220377,0.0038840746268656717,0.008908837321854442 -logarithmic,Chlorophyll,984.450989,0.07481832038421343,y = -0.011848 + 0.006752*ln(x),134,10.960663313432837,3.9096921347220377,0.0038840746268656717,0.008908837321854442 diff --git a/src/gui/work_dir/6_75_custom_regression/988.963013_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/988.963013_regression_results.csv deleted file mode 100644 index 3506534..0000000 --- a/src/gui/work_dir/6_75_custom_regression/988.963013_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,988.963013,0.08457349098645517,y = -0.003461 + 0.000761*x,134,10.960663313432837,3.9096921347220377,0.004877097014925373,0.010226867156361797 -logarithmic,Chlorophyll,988.963013,0.0626221596339478,y = -0.011645 + 0.007091*ln(x),134,10.960663313432837,3.9096921347220377,0.004877097014925373,0.010226867156361797 diff --git a/src/gui/work_dir/6_75_custom_regression/993.47699_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/993.47699_regression_results.csv deleted file mode 100644 index 30d164c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/993.47699_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,993.47699,0.1134844755445722,y = -0.004307 + 0.000958*x,134,10.960663313432837,3.9096921347220377,0.00618789552238806,0.0111130950665975 -logarithmic,Chlorophyll,993.47699,0.10027045293847281,y = -0.016531 + 0.009751*ln(x),134,10.960663313432837,3.9096921347220377,0.00618789552238806,0.0111130950665975 diff --git a/src/gui/work_dir/6_75_custom_regression/997.994995_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/997.994995_regression_results.csv deleted file mode 100644 index bdc427a..0000000 --- a/src/gui/work_dir/6_75_custom_regression/997.994995_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,997.994995,0.10101902617501812,y = -0.004767 + 0.000926*x,134,10.960663313432837,3.9096921347220377,0.005378410447761194,0.01138568086193099 -logarithmic,Chlorophyll,997.994995,0.08312184949951051,y = -0.015814 + 0.009096*ln(x),134,10.960663313432837,3.9096921347220377,0.005378410447761194,0.01138568086193099 diff --git a/src/gui/work_dir/6_75_custom_regression/Al10SABI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Al10SABI_regression_results.csv deleted file mode 100644 index 2e485e6..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Al10SABI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Al10SABI,0.12358552390181055,y = -0.439887 + 0.004771*x,134,10.960663313432837,3.9096921347220377,-0.38759527726255294,0.053058693427890484 -logarithmic,Chlorophyll,Al10SABI,0.11879573339994454,y = -0.505661 + 0.050673*ln(x),134,10.960663313432837,3.9096921347220377,-0.38759527726255294,0.053058693427890484 diff --git a/src/gui/work_dir/6_75_custom_regression/Am092Bsub_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Am092Bsub_regression_results.csv deleted file mode 100644 index 024294b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Am092Bsub_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Am092Bsub,0.1885121964498917,y = -0.000416 + 0.000036*x,134,10.960663313432837,3.9096921347220377,-2.2059701492527586e-05,0.000323751511520543 -logarithmic,Chlorophyll,Am092Bsub,0.18262380528639088,y = -0.000915 + 0.000383*ln(x),134,10.960663313432837,3.9096921347220377,-2.2059701492527586e-05,0.000323751511520543 diff --git a/src/gui/work_dir/6_75_custom_regression/Am09KBBI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Am09KBBI_regression_results.csv deleted file mode 100644 index bdc6c9f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Am09KBBI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Am09KBBI,0.4762643285625632,y = -0.043335 + 0.003808*x,133,10.9134502556391,3.886119767718547,-0.0017793295272656735,0.021441910619729863 -logarithmic,Chlorophyll,Am09KBBI,0.43987401331105946,y = -0.093808 + 0.039564*ln(x),133,10.9134502556391,3.886119767718547,-0.0017793295272656735,0.021441910619729863 diff --git a/src/gui/work_dir/6_75_custom_regression/Be162B643sub629_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be162B643sub629_regression_results.csv deleted file mode 100644 index 252bb67..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be162B643sub629_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be162B643sub629,0.11325211782580646,y = -0.000557 + 0.000033*x,134,10.960663313432837,3.9096921347220377,-0.0001981940298507127,0.0003804186515039719 -logarithmic,Chlorophyll,Be162B643sub629,0.10118775386855117,y = -0.000979 + 0.000335*ln(x),134,10.960663313432837,3.9096921347220377,-0.0001981940298507127,0.0003804186515039719 diff --git a/src/gui/work_dir/6_75_custom_regression/Be162B700sub601_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be162B700sub601_regression_results.csv deleted file mode 100644 index 08b0f1b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be162B700sub601_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be162B700sub601,0.0169444048529096,y = -0.006350 + 0.000178*x,134,10.960663313432837,3.9096921347220377,-0.004400328358208927,0.0053424248572036485 -logarithmic,Chlorophyll,Be162B700sub601,0.014761393895308395,y = -0.008591 + 0.001799*ln(x),134,10.960663313432837,3.9096921347220377,-0.004400328358208927,0.0053424248572036485 diff --git a/src/gui/work_dir/6_75_custom_regression/Be162BsubPhy_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be162BsubPhy_regression_results.csv deleted file mode 100644 index 7972292..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be162BsubPhy_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be162BsubPhy,0.03688932214445073,y = -0.009806 + 0.000273*x,134,10.960663313432837,3.9096921347220377,-0.006814365671641769,0.005555633366019352 -logarithmic,Chlorophyll,Be162BsubPhy,0.031115779994116965,y = -0.013141 + 0.002715*ln(x),134,10.960663313432837,3.9096921347220377,-0.006814365671641769,0.005555633366019352 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16FLHBlueRedNIR_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16FLHBlueRedNIR_regression_results.csv deleted file mode 100644 index 79fdcec..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16FLHBlueRedNIR_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16FLHBlueRedNIR,0.01538700206829402,y = -0.003983 + 0.000086*x,134,10.960663313432837,3.9096921347220377,-0.0030460074626865365,0.0026953295052247923 -logarithmic,Chlorophyll,Be16FLHBlueRedNIR,0.01138782391370985,y = -0.004903 + 0.000797*ln(x),134,10.960663313432837,3.9096921347220377,-0.0030460074626865365,0.0026953295052247923 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16FLHGreenRedNIR_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16FLHGreenRedNIR_regression_results.csv deleted file mode 100644 index 276ca12..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16FLHGreenRedNIR_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16FLHGreenRedNIR,0.010218580183159132,y = -0.011939 + 0.000183*x,134,10.960663313432837,3.9096921347220377,-0.009929455223880576,0.007090511093103789 -logarithmic,Chlorophyll,Be16FLHGreenRedNIR,0.008441213911274725,y = -0.014135 + 0.001805*ln(x),134,10.960663313432837,3.9096921347220377,-0.009929455223880576,0.007090511093103789 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16FLHVioletRedNIR_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16FLHVioletRedNIR_regression_results.csv deleted file mode 100644 index f03aaaa..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16FLHVioletRedNIR_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16FLHVioletRedNIR,0.013682668849342106,y = -0.004234 + 0.000082*x,134,10.960663313432837,3.9096921347220377,-0.0033393432835820583,0.002727533132087303 -logarithmic,Chlorophyll,Be16FLHVioletRedNIR,0.009926378059882501,y = -0.005094 + 0.000753*ln(x),134,10.960663313432837,3.9096921347220377,-0.0033393432835820583,0.002727533132087303 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16FLHblue_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16FLHblue_regression_results.csv deleted file mode 100644 index 61a78b1..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16FLHblue_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16FLHblue,0.017424523813847625,y = 0.003868 + 0.000047*x,134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -logarithmic,Chlorophyll,Be16FLHblue,0.015080880084500592,y = 0.003284 + 0.000470*ln(x),134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -exponential,Chlorophyll,Be16FLHblue,-0.002117132819616341,y = 0.004168 * exp(0.001937*x),134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -power,Chlorophyll,Be16FLHblue,-0.0030671526470118504,y = 0.004076 * x^0.018690,134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16FLHviolet_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16FLHviolet_regression_results.csv deleted file mode 100644 index ef58b71..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16FLHviolet_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16FLHviolet,0.0023835729307108977,y = 0.003164 + 0.000019*x,134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -logarithmic,Chlorophyll,Be16FLHviolet,0.0018280319730009653,y = 0.002951 + 0.000181*ln(x),134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -power,Chlorophyll,Be16FLHviolet,-0.03359801493155068,y = 0.004239 * x^-0.124759,134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -exponential,Chlorophyll,Be16FLHviolet,-0.03542639293253047,y = 0.003613 * exp(-0.011923*x),134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16MPI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16MPI_regression_results.csv deleted file mode 100644 index 47b43e0..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16MPI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16MPI,0.062270111791835725,y = 0.001595 + -0.000043*x,134,10.960663313432837,3.9096921347220377,0.0011235895522387698,0.0006740220689584854 -logarithmic,Chlorophyll,Be16MPI,0.053593132296276824,y = 0.002131 + -0.000432*ln(x),134,10.960663313432837,3.9096921347220377,0.0011235895522387698,0.0006740220689584854 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI644over615_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI644over615_regression_results.csv deleted file mode 100644 index 399109f..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI644over615_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16NDPhyI644over615,0.021975250694089343,y = -0.065407 + 0.001863*x,134,10.960663313432837,3.9096921347220377,-0.044985950160293706,0.049137812385328355 -logarithmic,Chlorophyll,Be16NDPhyI644over615,0.018283728847716674,y = -0.087882 + 0.018411*ln(x),134,10.960663313432837,3.9096921347220377,-0.044985950160293706,0.049137812385328355 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI644over629_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI644over629_regression_results.csv deleted file mode 100644 index b0ccdaa..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI644over629_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16NDPhyI644over629,0.03970066029484709,y = -0.043506 + 0.003785*x,134,10.960663313432837,3.9096921347220377,-0.002020256813774733,0.07426922456651143 -logarithmic,Chlorophyll,Be16NDPhyI644over629,0.0335412781786012,y = -0.089835 + 0.037690*ln(x),134,10.960663313432837,3.9096921347220377,-0.002020256813774733,0.07426922456651143 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI_regression_results.csv deleted file mode 100644 index e04951b..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16NDPhyI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16NDPhyI,0.16604525086113353,y = -0.242290 + 0.014903*x,134,10.960663313432837,3.9096921347220377,-0.07894663731685109,0.14298591380157585 -logarithmic,Chlorophyll,Be16NDPhyI,0.14825528926546594,y = -0.434387 + 0.152553*ln(x),134,10.960663313432837,3.9096921347220377,-0.07894663731685109,0.14298591380157585 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16NDTIblue_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16NDTIblue_regression_results.csv deleted file mode 100644 index eca1bc2..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16NDTIblue_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,Be16NDTIblue,0.0033079929100812144,y = -0.134462 + -0.011840*ln(x),133,10.9134502556391,3.886119767718547,-0.16200172104305108,0.07399047397462093 -linear,Chlorophyll,Be16NDTIblue,0.00317524512241274,y = -0.150293 + -0.001073*x,133,10.9134502556391,3.886119767718547,-0.16200172104305108,0.07399047397462093 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16NDTIviolet_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16NDTIviolet_regression_results.csv deleted file mode 100644 index a397ac9..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16NDTIviolet_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16NDTIviolet,0.0005010487351857495,y = -0.175143 + 0.000717*x,133,10.9134502556391,3.886119767718547,-0.16732129594785264,0.124429968840917 -logarithmic,Chlorophyll,Be16NDTIviolet,0.0004086312956946836,y = -0.183599 + 0.006998*ln(x),133,10.9134502556391,3.886119767718547,-0.16732129594785264,0.124429968840917 diff --git a/src/gui/work_dir/6_75_custom_regression/Be16Phy2BDA644over629_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Be16Phy2BDA644over629_regression_results.csv deleted file mode 100644 index e22bb42..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Be16Phy2BDA644over629_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Be16Phy2BDA644over629,0.023206004958571502,y = 0.713769 + 0.030997*x,134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -logarithmic,Chlorophyll,Be16Phy2BDA644over629,0.0187754308216187,y = 0.349750 + 0.302055*ln(x),134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -exponential,Chlorophyll,Be16Phy2BDA644over629,0.008223792315415035,y = 0.900438 * exp(0.009666*x),134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -power,Chlorophyll,Be16Phy2BDA644over629,0.00591210292212041,y = 0.801083 * x^0.095650,134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 diff --git a/src/gui/work_dir/6_75_custom_regression/De933BDA_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/De933BDA_regression_results.csv deleted file mode 100644 index baab5ea..0000000 --- a/src/gui/work_dir/6_75_custom_regression/De933BDA_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,De933BDA,0.00023919683733564234,y = -0.009738 + 0.000030*x,134,10.960663313432837,3.9096921347220377,-0.009405067164179083,0.007689652483460126 -logarithmic,Chlorophyll,De933BDA,0.00011330432702505444,y = -0.009934 + 0.000227*ln(x),134,10.960663313432837,3.9096921347220377,-0.009405067164179083,0.007689652483460126 diff --git a/src/gui/work_dir/6_75_custom_regression/Go04MCI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Go04MCI_regression_results.csv deleted file mode 100644 index f5be9a4..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Go04MCI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Go04MCI,0.0037028838151977883,y = 0.008870 + -0.000177*x,134,10.960663313432837,3.9096921347220377,0.006929253731343275,0.011379134657238244 -logarithmic,Chlorophyll,Go04MCI,0.0031526249468724066,y = 0.011054 + -0.001770*ln(x),134,10.960663313432837,3.9096921347220377,0.006929253731343275,0.011379134657238244 diff --git a/src/gui/work_dir/6_75_custom_regression/HU103BDA_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/HU103BDA_regression_results.csv deleted file mode 100644 index 2e78609..0000000 --- a/src/gui/work_dir/6_75_custom_regression/HU103BDA_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,HU103BDA,0.022814312069399434,y = -52.916771 + 7.153375*x,134,10.960663313432837,3.9096921347220377,25.488964765505937,185.16115053399594 -logarithmic,Chlorophyll,HU103BDA,0.018338828535085838,y = -136.395192 + 69.479719*ln(x),134,10.960663313432837,3.9096921347220377,25.488964765505937,185.16115053399594 diff --git a/src/gui/work_dir/6_75_custom_regression/Kn07KIVU_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Kn07KIVU_regression_results.csv deleted file mode 100644 index c3a3d36..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Kn07KIVU_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,Kn07KIVU,0.00032084600727178003,y = -0.000024 + 0.003864*ln(x),134,10.960663313432837,3.9096921347220377,0.008978853062571953,0.07784863735321206 -linear,Chlorophyll,Kn07KIVU,9.160946797537317e-05,y = 0.011068 + -0.000191*x,134,10.960663313432837,3.9096921347220377,0.008978853062571953,0.07784863735321206 diff --git a/src/gui/work_dir/6_75_custom_regression/Ku15PhyCI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Ku15PhyCI_regression_results.csv deleted file mode 100644 index 268803a..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Ku15PhyCI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Ku15PhyCI,0.007889056025643382,y = -0.000509 + 0.000148*x,134,10.960663313432837,3.9096921347220377,0.0011146865671641457,0.006521171197136047 -logarithmic,Chlorophyll,Ku15PhyCI,0.0062998084059643356,y = -0.002227 + 0.001434*ln(x),134,10.960663313432837,3.9096921347220377,0.0011146865671641457,0.006521171197136047 diff --git a/src/gui/work_dir/6_75_custom_regression/Ku15SLH_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Ku15SLH_regression_results.csv deleted file mode 100644 index 89b900d..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Ku15SLH_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Ku15SLH,0.015206455027719001,y = -0.009458 + 0.000383*x,134,10.960663313432837,3.9096921347220377,-0.005264970149253696,0.012128158740383666 -logarithmic,Chlorophyll,Ku15SLH,0.01247925513910264,y = -0.014012 + 0.003754*ln(x),134,10.960663313432837,3.9096921347220377,-0.005264970149253696,0.012128158740383666 diff --git a/src/gui/work_dir/6_75_custom_regression/MI092BDA_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/MI092BDA_regression_results.csv deleted file mode 100644 index b8fbdc2..0000000 --- a/src/gui/work_dir/6_75_custom_regression/MI092BDA_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,MI092BDA,0.08763672931756827,y = 0.415458 + 0.031001*x,134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -logarithmic,Chlorophyll,MI092BDA,0.07689535140547887,y = 0.022263 + 0.314595*ln(x),134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -exponential,Chlorophyll,MI092BDA,0.06807967150006189,y = 0.543612 * exp(0.025329*x),134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -power,Chlorophyll,MI092BDA,0.05909773540292862,y = 0.391266 * x^0.260295,134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 diff --git a/src/gui/work_dir/6_75_custom_regression/MM092BDA_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/MM092BDA_regression_results.csv deleted file mode 100644 index 6d45b52..0000000 --- a/src/gui/work_dir/6_75_custom_regression/MM092BDA_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,MM092BDA,0.05916056039742046,y = 0.020110 + 0.025980*x,134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -logarithmic,Chlorophyll,MM092BDA,0.05062582327866094,y = -0.301758 + 0.260360*ln(x),134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -exponential,Chlorophyll,MM092BDA,0.031081382027952853,y = 0.169237 * exp(0.039710*x),134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -power,Chlorophyll,MM092BDA,0.025455662241081423,y = 0.100699 * x^0.409629,134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 diff --git a/src/gui/work_dir/6_75_custom_regression/MM12NDCI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/MM12NDCI_regression_results.csv deleted file mode 100644 index 92c207c..0000000 --- a/src/gui/work_dir/6_75_custom_regression/MM12NDCI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,MM12NDCI,0.14968049493387692,y = -0.334438 + 0.016524*x,134,10.960663313432837,3.9096921347220377,-0.15332684559895957,0.1669812364274784 -logarithmic,Chlorophyll,MM12NDCI,0.1284752471027638,y = -0.539735 + 0.165844*ln(x),134,10.960663313432837,3.9096921347220377,-0.15332684559895957,0.1669812364274784 diff --git a/src/gui/work_dir/6_75_custom_regression/MM12NDCIalt_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/MM12NDCIalt_regression_results.csv deleted file mode 100644 index 75c9c64..0000000 --- a/src/gui/work_dir/6_75_custom_regression/MM12NDCIalt_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,MM12NDCIalt,0.1782969390839364,y = -0.067623 + 0.015108*x,134,10.960663313432837,3.9096921347220377,0.09797303208020114,0.1398887140001231 -logarithmic,Chlorophyll,MM12NDCIalt,0.15469579925762256,y = -0.257241 + 0.152456*ln(x),134,10.960663313432837,3.9096921347220377,0.09797303208020114,0.1398887140001231 diff --git a/src/gui/work_dir/6_75_custom_regression/SI052BDA_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/SI052BDA_regression_results.csv deleted file mode 100644 index 2375616..0000000 --- a/src/gui/work_dir/6_75_custom_regression/SI052BDA_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,SI052BDA,0.02394542541720257,y = -2.641394 + 0.392126*x,134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -logarithmic,Chlorophyll,SI052BDA,0.019350113206532904,y = -7.240919 + 3.818747*ln(x),134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -exponential,Chlorophyll,SI052BDA,-0.0034738533070597377,y = 0.468901 * exp(0.044799*x),134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -power,Chlorophyll,SI052BDA,-0.004314196524685121,y = 0.267297 * x^0.451967,134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 diff --git a/src/gui/work_dir/6_75_custom_regression/SM122BDA_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/SM122BDA_regression_results.csv deleted file mode 100644 index d2bacf0..0000000 --- a/src/gui/work_dir/6_75_custom_regression/SM122BDA_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,SM122BDA,0.06414848722020783,y = 0.199657 + 0.045876*x,134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -logarithmic,Chlorophyll,SM122BDA,0.05481383167054166,y = -0.367922 + 0.459415*ln(x),134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -exponential,Chlorophyll,SM122BDA,0.0384911707850909,y = 0.442182 * exp(0.032597*x),134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -power,Chlorophyll,SM122BDA,0.0316342801109748,y = 0.291960 * x^0.331506,134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 diff --git a/src/gui/work_dir/6_75_custom_regression/TurbBow06RedOverGreen_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/TurbBow06RedOverGreen_regression_results.csv deleted file mode 100644 index f5240c8..0000000 --- a/src/gui/work_dir/6_75_custom_regression/TurbBow06RedOverGreen_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -logarithmic,Chlorophyll,TurbBow06RedOverGreen,0.0008581470760438137,y = 0.400651 + 0.028309*ln(x),134,10.960663313432837,3.9096921347220377,0.46660909641031345,0.348755127089641 -linear,Chlorophyll,TurbBow06RedOverGreen,0.0008315690342066695,y = 0.438415 + 0.002572*x,134,10.960663313432837,3.9096921347220377,0.46660909641031345,0.348755127089641 diff --git a/src/gui/work_dir/6_75_custom_regression/TurbChip09NIROverGreen_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/TurbChip09NIROverGreen_regression_results.csv deleted file mode 100644 index 7e9dc75..0000000 --- a/src/gui/work_dir/6_75_custom_regression/TurbChip09NIROverGreen_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,TurbChip09NIROverGreen,0.01848858969012912,y = -0.040594 + 0.008604*x,134,10.960663313432837,3.9096921347220377,0.053712679806626945,0.2473987712418453 -logarithmic,Chlorophyll,TurbChip09NIROverGreen,0.016570559702190013,y = -0.151893 + 0.088245*ln(x),134,10.960663313432837,3.9096921347220377,0.053712679806626945,0.2473987712418453 diff --git a/src/gui/work_dir/6_75_custom_regression/TurbHarr92NIR_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/TurbHarr92NIR_regression_results.csv deleted file mode 100644 index da00753..0000000 --- a/src/gui/work_dir/6_75_custom_regression/TurbHarr92NIR_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,TurbHarr92NIR,0.015865352453769743,y = -0.000772 + 0.000165*x,134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 -logarithmic,Chlorophyll,TurbHarr92NIR,0.01432846575764024,y = -0.002925 + 0.001702*ln(x),134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 diff --git a/src/gui/work_dir/6_75_custom_regression/TurbLath91RedOverBlue_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/TurbLath91RedOverBlue_regression_results.csv deleted file mode 100644 index c358eac..0000000 --- a/src/gui/work_dir/6_75_custom_regression/TurbLath91RedOverBlue_regression_results.csv +++ /dev/null @@ -1,5 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,TurbLath91RedOverBlue,0.00025779216509291825,y = 0.723653 + 0.000603*x,133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -logarithmic,Chlorophyll,TurbLath91RedOverBlue,0.00015814654236934178,y = 0.718358 + 0.005104*ln(x),133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -power,Chlorophyll,TurbLath91RedOverBlue,-0.007759099371790423,y = 0.765225 * x^-0.025934,133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -exponential,Chlorophyll,TurbLath91RedOverBlue,-0.007972973578523668,y = 0.739256 * exp(-0.002364*x),133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 diff --git a/src/gui/work_dir/6_75_custom_regression/TurbMoore80Red_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/TurbMoore80Red_regression_results.csv deleted file mode 100644 index c52eb8d..0000000 --- a/src/gui/work_dir/6_75_custom_regression/TurbMoore80Red_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,TurbMoore80Red,2.3065421406842646e-05,y = 0.009045 + -0.000009*x,134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 -logarithmic,Chlorophyll,TurbMoore80Red,8.478475440609756e-07,y = 0.008902 + 0.000019*ln(x),134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 diff --git a/src/gui/work_dir/6_75_custom_regression/Wy08CI_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Wy08CI_regression_results.csv deleted file mode 100644 index 5897545..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Wy08CI_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Wy08CI,0.004922647127989954,y = -0.003917 + 0.000117*x,134,10.960663313432837,3.9096921347220377,-0.0026294477611939994,0.006547381229445023 -logarithmic,Chlorophyll,Wy08CI,0.0037258564416292606,y = -0.005210 + 0.001107*ln(x),134,10.960663313432837,3.9096921347220377,-0.0026294477611939994,0.006547381229445023 diff --git a/src/gui/work_dir/6_75_custom_regression/Zh10FLH_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/Zh10FLH_regression_results.csv deleted file mode 100644 index 4a115c8..0000000 --- a/src/gui/work_dir/6_75_custom_regression/Zh10FLH_regression_results.csv +++ /dev/null @@ -1,3 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,Zh10FLH,0.0034208029090143643,y = -0.003691 + 0.000107*x,134,10.960663313432837,3.9096921347220377,-0.0025192910447760807,0.007148572087690299 -logarithmic,Chlorophyll,Zh10FLH,0.0029682401109050183,y = -0.005034 + 0.001079*ln(x),134,10.960663313432837,3.9096921347220377,-0.0025192910447760807,0.007148572087690299 diff --git a/src/gui/work_dir/6_75_custom_regression/all_regression_results.csv b/src/gui/work_dir/6_75_custom_regression/all_regression_results.csv deleted file mode 100644 index 09b1855..0000000 --- a/src/gui/work_dir/6_75_custom_regression/all_regression_results.csv +++ /dev/null @@ -1,533 +0,0 @@ -regression_method,x_variable,y_variable,r_squared,equation,sample_size,x_mean,x_std,y_mean,y_std -linear,Chlorophyll,1002.515991,0.11209397634185636,y = -0.005956 + 0.001186*x,134,10.960663313432837,3.9096921347220377,0.007041335820895523,0.0138473135041692 -logarithmic,Chlorophyll,1002.515991,0.09022914646608904,y = -0.019813 + 0.011526*ln(x),134,10.960663313432837,3.9096921347220377,0.007041335820895523,0.0138473135041692 -linear,Chlorophyll,1007.041016,0.13129585788396014,y = -0.007873 + 0.001537*x,134,10.960663313432837,3.9096921347220377,0.008974216417910446,0.016584272713125302 -logarithmic,Chlorophyll,1007.041016,0.10398887849221805,y = -0.025553 + 0.014819*ln(x),134,10.960663313432837,3.9096921347220377,0.008974216417910446,0.016584272713125302 -linear,Chlorophyll,1011.56897,0.11897246869922418,y = -0.007866 + 0.001621*x,134,10.960663313432837,3.9096921347220377,0.00990283582089552,0.01837518499092342 -logarithmic,Chlorophyll,1011.56897,0.09605697495450882,y = -0.026865 + 0.015780*ln(x),134,10.960663313432837,3.9096921347220377,0.00990283582089552,0.01837518499092342 -linear,Chlorophyll,374.285004,0.0577461915301245,y = 0.009707 + 0.000311*x,134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -logarithmic,Chlorophyll,374.285004,0.052490162787109385,y = 0.005636 + 0.003209*ln(x),134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -exponential,Chlorophyll,374.285004,0.030557192829324564,y = 0.010822 * exp(0.013060*x),134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -power,Chlorophyll,374.285004,0.02576326804736484,y = 0.009209 * x^0.130700,134,10.960663313432837,3.9096921347220377,0.013112298507462688,0.005054260878733534 -logarithmic,Chlorophyll,378.311005,0.008061439581006025,y = 0.013092 + 0.001044*ln(x),134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -linear,Chlorophyll,378.311005,0.008052879252108514,y = 0.014468 + 0.000096*x,134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -power,Chlorophyll,378.311005,-0.016155019039159058,y = 0.015641 * x^-0.016124,134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -exponential,Chlorophyll,378.311005,-0.01708357282563666,y = 0.015362 * exp(-0.001784*x),134,10.960663313432837,3.9096921347220377,0.01552370895522388,0.00419444858565235 -linear,Chlorophyll,382.341003,0.010983531384569756,y = 0.013856 + 0.000202*x,134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -logarithmic,Chlorophyll,382.341003,0.010636805221273526,y = 0.011048 + 0.002157*ln(x),134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -power,Chlorophyll,382.341003,-0.007234268459601845,y = 0.015174 * x^0.006143,134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -exponential,Chlorophyll,382.341003,-0.008026222697967267,y = 0.015380 * exp(0.000073*x),134,10.960663313432837,3.9096921347220377,0.016074067164179102,0.007548431031201279 -logarithmic,Chlorophyll,386.373993,0.004476522091747537,y = 0.013943 + 0.001356*ln(x),134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -linear,Chlorophyll,386.373993,0.003937809502393641,y = 0.015816 + 0.000117*x,134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -power,Chlorophyll,386.373993,-0.013451645087448227,y = 0.018099 * x^-0.040970,134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -exponential,Chlorophyll,386.373993,-0.01526209268366463,y = 0.017374 * exp(-0.004977*x),134,10.960663313432837,3.9096921347220377,0.017102343283582087,0.007312955327938564 -logarithmic,Chlorophyll,390.410004,0.0033869580773776553,y = 0.014722 + 0.001210*ln(x),134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -linear,Chlorophyll,390.410004,0.0026484411391527463,y = 0.016458 + 0.000099*x,134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -power,Chlorophyll,390.410004,-0.01625121404032659,y = 0.019411 * x^-0.060440,134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -exponential,Chlorophyll,390.410004,-0.018540174411018073,y = 0.018243 * exp(-0.007186*x),134,10.960663313432837,3.9096921347220377,0.017540880597014925,0.00750323608895778 -logarithmic,Chlorophyll,394.450012,0.0016938639111105935,y = 0.015234 + 0.000830*ln(x),134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -linear,Chlorophyll,394.450012,0.0010649475553690113,y = 0.016503 + 0.000061*x,134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -power,Chlorophyll,394.450012,-0.023745377413006752,y = 0.020435 * x^-0.094840,134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -exponential,Chlorophyll,394.450012,-0.02617627918721488,y = 0.018415 * exp(-0.010666*x),134,10.960663313432837,3.9096921347220377,0.01716890298507463,0.007280847323239202 -logarithmic,Chlorophyll,398.493011,0.000857763974499659,y = 0.015092 + 0.000573*ln(x),134,10.960663313432837,3.9096921347220377,0.016425865671641792,0.00705544097312418 -linear,Chlorophyll,398.493011,0.0003890186261535922,y = 0.016036 + 0.000036*x,134,10.960663313432837,3.9096921347220377,0.016425865671641792,0.00705544097312418 -logarithmic,Chlorophyll,402.539001,0.00048016503667658306,y = 0.015505 + 0.000443*ln(x),134,10.960663313432837,3.9096921347220377,0.01653574626865672,0.007288381669035372 -linear,Chlorophyll,402.539001,0.0001313248786827259,y = 0.016302 + 0.000021*x,134,10.960663313432837,3.9096921347220377,0.01653574626865672,0.007288381669035372 -logarithmic,Chlorophyll,406.588989,0.00016428918964617178,y = 0.015242 + 0.000242*ln(x),134,10.960663313432837,3.9096921347220377,0.015806723880597017,0.006825478500958131 -linear,Chlorophyll,406.588989,1.6937017762730378e-06,y = 0.015782 + 0.000002*x,134,10.960663313432837,3.9096921347220377,0.015806723880597017,0.006825478500958131 -logarithmic,Chlorophyll,410.641998,0.00010695507791136372,y = 0.014822 + 0.000189*ln(x),134,10.960663313432837,3.9096921347220377,0.015261298507462688,0.0065848636688817614 -linear,Chlorophyll,410.641998,2.2039578226884515e-06,y = 0.015289 + -0.000003*x,134,10.960663313432837,3.9096921347220377,0.015261298507462688,0.0065848636688817614 -linear,Chlorophyll,414.699005,9.23718683270014e-05,y = 0.014978 + -0.000015*x,134,10.960663313432837,3.9096921347220377,0.014808014925373135,0.006298696608817295 -logarithmic,Chlorophyll,414.699005,1.0794055052776308e-05,y = 0.014674 + 0.000057*ln(x),134,10.960663313432837,3.9096921347220377,0.014808014925373135,0.006298696608817295 -linear,Chlorophyll,418.759003,0.0002645667637589666,y = 0.014364 + -0.000025*x,134,10.960663313432837,3.9096921347220377,0.014088052238805972,0.006051440804527788 -logarithmic,Chlorophyll,418.759003,7.794051727350038e-06,y = 0.014197 + -0.000047*ln(x),134,10.960663313432837,3.9096921347220377,0.014088052238805972,0.006051440804527788 -linear,Chlorophyll,422.821991,0.0008115657894584016,y = 0.014105 + -0.000042*x,134,10.960663313432837,3.9096921347220377,0.013641977611940298,0.005799322545956216 -logarithmic,Chlorophyll,422.821991,0.0001768579797475356,y = 0.014140 + -0.000214*ln(x),134,10.960663313432837,3.9096921347220377,0.013641977611940298,0.005799322545956216 -linear,Chlorophyll,426.889008,0.0013073210454338513,y = 0.014170 + -0.000053*x,134,10.960663313432837,3.9096921347220377,0.013589074626865672,0.005728319043930576 -logarithmic,Chlorophyll,426.889008,0.0004182937928386421,y = 0.014345 + -0.000325*ln(x),134,10.960663313432837,3.9096921347220377,0.013589074626865672,0.005728319043930576 -linear,Chlorophyll,430.959015,0.002347137019542922,y = 0.013733 + -0.000067*x,134,10.960663313432837,3.9096921347220377,0.012997753731343284,0.005410808768465578 -logarithmic,Chlorophyll,430.959015,0.0010658686661263461,y = 0.014138 + -0.000489*ln(x),134,10.960663313432837,3.9096921347220377,0.012997753731343284,0.005410808768465578 -linear,Chlorophyll,435.032013,0.0024283085040497365,y = 0.013179 + -0.000069*x,134,10.960663313432837,3.9096921347220377,0.012427850746268653,0.005435180040005626 -logarithmic,Chlorophyll,435.032013,0.0011266238526388417,y = 0.013606 + -0.000506*ln(x),134,10.960663313432837,3.9096921347220377,0.012427850746268653,0.005435180040005626 -linear,Chlorophyll,439.109009,0.0042064615418079265,y = 0.013397 + -0.000086*x,134,10.960663313432837,3.9096921347220377,0.012450895522388062,0.005205005715323194 -logarithmic,Chlorophyll,439.109009,0.002294686396103418,y = 0.014061 + -0.000691*ln(x),134,10.960663313432837,3.9096921347220377,0.012450895522388062,0.005205005715323194 -linear,Chlorophyll,443.190002,0.004695213661859765,y = 0.013279 + -0.000091*x,134,10.960663313432837,3.9096921347220377,0.012285432835820896,0.00517286197733264 -logarithmic,Chlorophyll,443.190002,0.0026235944054925353,y = 0.013996 + -0.000734*ln(x),134,10.960663313432837,3.9096921347220377,0.012285432835820896,0.00517286197733264 -linear,Chlorophyll,447.27301,0.005169120886448608,y = 0.013250 + -0.000094*x,134,10.960663313432837,3.9096921347220377,0.012221335820895522,0.005101097814158477 -logarithmic,Chlorophyll,447.27301,0.002968315833349222,y = 0.014016 + -0.000770*ln(x),134,10.960663313432837,3.9096921347220377,0.012221335820895522,0.005101097814158477 -linear,Chlorophyll,451.360992,0.004863772601295668,y = 0.013262 + -0.000092*x,134,10.960663313432837,3.9096921347220377,0.012257104477611941,0.00513769471108476 -logarithmic,Chlorophyll,451.360992,0.002739591016255649,y = 0.013993 + -0.000745*ln(x),134,10.960663313432837,3.9096921347220377,0.012257104477611941,0.00513769471108476 -linear,Chlorophyll,455.450989,0.005525011318207929,y = 0.013206 + -0.000097*x,134,10.960663313432837,3.9096921347220377,0.012144328358208955,0.005093595896892254 -logarithmic,Chlorophyll,455.450989,0.0032249891993542112,y = 0.014012 + -0.000802*ln(x),134,10.960663313432837,3.9096921347220377,0.012144328358208955,0.005093595896892254 -linear,Chlorophyll,459.545013,0.005303969126716268,y = 0.013029 + -0.000095*x,134,10.960663313432837,3.9096921347220377,0.011992097014925374,0.005076948054716495 -logarithmic,Chlorophyll,459.545013,0.0030599507272712767,y = 0.013805 + -0.000778*ln(x),134,10.960663313432837,3.9096921347220377,0.011992097014925374,0.005076948054716495 -linear,Chlorophyll,463.641998,0.005309017626029533,y = 0.013098 + -0.000096*x,134,10.960663313432837,3.9096921347220377,0.012043410447761194,0.0051616384058770694 -logarithmic,Chlorophyll,463.641998,0.00309369061071596,y = 0.013897 + -0.000796*ln(x),134,10.960663313432837,3.9096921347220377,0.012043410447761194,0.0051616384058770694 -linear,Chlorophyll,467.743011,0.005910540579640466,y = 0.013129 + -0.000101*x,134,10.960663313432837,3.9096921347220377,0.012021395522388062,0.0051373056777988335 -logarithmic,Chlorophyll,467.743011,0.0035312797033351107,y = 0.013992 + -0.000846*ln(x),134,10.960663313432837,3.9096921347220377,0.012021395522388062,0.0051373056777988335 -linear,Chlorophyll,471.846985,0.006597953952974689,y = 0.013090 + -0.000107*x,134,10.960663313432837,3.9096921347220377,0.011916462686567163,0.005154508155317495 -logarithmic,Chlorophyll,471.846985,0.004055554987167143,y = 0.014036 + -0.000910*ln(x),134,10.960663313432837,3.9096921347220377,0.011916462686567163,0.005154508155317495 -linear,Chlorophyll,475.954987,0.006969427568661812,y = 0.013222 + -0.000110*x,134,10.960663313432837,3.9096921347220377,0.012010992537313433,0.005173190365687869 -logarithmic,Chlorophyll,475.954987,0.0043493646432547495,y = 0.014214 + -0.000945*ln(x),134,10.960663313432837,3.9096921347220377,0.012010992537313433,0.005173190365687869 -linear,Chlorophyll,480.065002,0.006908555626254476,y = 0.013165 + -0.000112*x,134,10.960663313432837,3.9096921347220377,0.011938738805970149,0.005260977465686793 -logarithmic,Chlorophyll,480.065002,0.004358699372388197,y = 0.014181 + -0.000962*ln(x),134,10.960663313432837,3.9096921347220377,0.011938738805970149,0.005260977465686793 -linear,Chlorophyll,484.179993,0.007786080902936532,y = 0.013479 + -0.000120*x,134,10.960663313432837,3.9096921347220377,0.01216315671641791,0.00531894585260112 -logarithmic,Chlorophyll,484.179993,0.00503315433665652,y = 0.014599 + -0.001046*ln(x),134,10.960663313432837,3.9096921347220377,0.01216315671641791,0.00531894585260112 -linear,Chlorophyll,488.296997,0.009003426521211222,y = 0.013413 + -0.000127*x,134,10.960663313432837,3.9096921347220377,0.01202031343283582,0.005235852382412684 -logarithmic,Chlorophyll,488.296997,0.0059888617317502835,y = 0.014636 + -0.001123*ln(x),134,10.960663313432837,3.9096921347220377,0.01202031343283582,0.005235852382412684 -linear,Chlorophyll,492.417999,0.009356273796731096,y = 0.013426 + -0.000130*x,134,10.960663313432837,3.9096921347220377,0.011996694029850746,0.00526918646504346 -logarithmic,Chlorophyll,492.417999,0.0063786563113004124,y = 0.014714 + -0.001166*ln(x),134,10.960663313432837,3.9096921347220377,0.011996694029850746,0.00526918646504346 -linear,Chlorophyll,496.542999,0.008454580487572083,y = 0.013491 + -0.000126*x,134,10.960663313432837,3.9096921347220377,0.012105947761194029,0.00537461785981684 -logarithmic,Chlorophyll,496.542999,0.005612309162053686,y = 0.014705 + -0.001116*ln(x),134,10.960663313432837,3.9096921347220377,0.012105947761194029,0.00537461785981684 -linear,Chlorophyll,500.67099,0.008930402290994066,y = 0.013947 + -0.000130*x,134,10.960663313432837,3.9096921347220377,0.012519723880597015,0.005386983290859261 -logarithmic,Chlorophyll,500.67099,0.006027433290726858,y = 0.015220 + -0.001159*ln(x),134,10.960663313432837,3.9096921347220377,0.012519723880597015,0.005386983290859261 -linear,Chlorophyll,504.802002,0.007851805368295328,y = 0.014159 + -0.000122*x,134,10.960663313432837,3.9096921347220377,0.012821291044776119,0.005386616665575906 -logarithmic,Chlorophyll,504.802002,0.005168584239575225,y = 0.015321 + -0.001073*ln(x),134,10.960663313432837,3.9096921347220377,0.012821291044776119,0.005386616665575906 -linear,Chlorophyll,508.936005,0.006500148302153508,y = 0.014525 + -0.000113*x,134,10.960663313432837,3.9096921347220377,0.013285626865671642,0.005484303548583865 -logarithmic,Chlorophyll,508.936005,0.004158811025431031,y = 0.015569 + -0.000980*ln(x),134,10.960663313432837,3.9096921347220377,0.013285626865671642,0.005484303548583865 -linear,Chlorophyll,513.073975,0.004917130582781315,y = 0.014969 + -0.000099*x,134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -logarithmic,Chlorophyll,513.073975,0.0029641857181392783,y = 0.015828 + -0.000836*ln(x),134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -exponential,Chlorophyll,513.073975,-0.01889032090850251,y = 0.016669 * exp(-0.020406*x),134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -power,Chlorophyll,513.073975,-0.019715344472010177,y = 0.020892 * x^-0.192919,134,10.960663313432837,3.9096921347220377,0.013879231343283581,0.005544190630289309 -linear,Chlorophyll,517.216003,0.004276559761211218,y = 0.015763 + -0.000093*x,134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -logarithmic,Chlorophyll,517.216003,0.00245772439289782,y = 0.016520 + -0.000761*ln(x),134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -exponential,Chlorophyll,517.216003,-0.018892619920322984,y = 0.017382 * exp(-0.018434*x),134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -power,Chlorophyll,517.216003,-0.0194484153066794,y = 0.021251 * x^-0.172972,134,10.960663313432837,3.9096921347220377,0.014746992537313432,0.005540761628631703 -linear,Chlorophyll,521.361023,0.002867645407956476,y = 0.015976 + -0.000077*x,134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -logarithmic,Chlorophyll,521.361023,0.001510103149844122,y = 0.016540 + -0.000602*ln(x),134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -exponential,Chlorophyll,521.361023,-0.013492164822140218,y = 0.017293 * exp(-0.014959*x),134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -power,Chlorophyll,521.361023,-0.01389692075440152,y = 0.020293 * x^-0.139034,134,10.960663313432837,3.9096921347220377,0.01513621641791045,0.0055935618166287285 -linear,Chlorophyll,525.508972,0.0016701377663735917,y = 0.016584 + -0.000059*x,134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -logarithmic,Chlorophyll,525.508972,0.0007153098124390578,y = 0.016913 + -0.000419*ln(x),134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -exponential,Chlorophyll,525.508972,-0.011873247394506237,y = 0.017736 * exp(-0.012223*x),134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -power,Chlorophyll,525.508972,-0.01195937275095682,y = 0.020122 * x^-0.111667,134,10.960663313432837,3.9096921347220377,0.015935962686567166,0.005657732827939037 -linear,Chlorophyll,529.659973,0.001100615217659584,y = 0.016897 + -0.000048*x,134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -logarithmic,Chlorophyll,529.659973,0.00038742510141320796,y = 0.017089 + -0.000308*ln(x),134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -power,Chlorophyll,529.659973,-0.010602748616709512,y = 0.019984 * x^-0.095978,134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -exponential,Chlorophyll,529.659973,-0.010676230097632189,y = 0.017950 * exp(-0.010610*x),134,10.960663313432837,3.9096921347220377,0.016371305970149252,0.005647344987370815 -linear,Chlorophyll,533.815002,0.0005274884679772329,y = 0.017331 + -0.000034*x,134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -logarithmic,Chlorophyll,533.815002,9.639796014881963e-05,y = 0.017325 + -0.000156*ln(x),134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -power,Chlorophyll,533.815002,-0.010942625292486463,y = 0.020200 * x^-0.085250,134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -exponential,Chlorophyll,533.815002,-0.011375297319334177,y = 0.018394 * exp(-0.009577*x),134,10.960663313432837,3.9096921347220377,0.016960171641791044,0.005752288800181051 -linear,Chlorophyll,537.973999,0.010059827315010317,y = 0.018287 + -0.000095*x,134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -logarithmic,Chlorophyll,537.973999,0.0058263736903666485,y = 0.019072 + -0.000784*ln(x),134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -exponential,Chlorophyll,537.973999,-0.0006317634379562342,y = 0.018947 * exp(-0.009908*x),134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -power,Chlorophyll,537.973999,-0.004088770616538007,y = 0.020915 * x^-0.089031,134,10.960663313432837,3.9096921347220377,0.017245291044776116,0.003706413209287316 -linear,Chlorophyll,542.13501,0.10592938275035968,y = 0.019264 + -0.000164*x,134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -exponential,Chlorophyll,542.13501,0.09468361275300774,y = 0.019618 * exp(-0.011250*x),134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -logarithmic,Chlorophyll,542.13501,0.07410535895090076,y = 0.020924 + -0.001482*ln(x),134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -power,Chlorophyll,542.13501,0.06336507350101761,y = 0.022043 * x^-0.102942,134,10.960663313432837,3.9096921347220377,0.017471380597014925,0.0019645221126944118 -linear,Chlorophyll,546.301025,0.12040522641720053,y = 0.019716 + -0.000169*x,134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -exponential,Chlorophyll,546.301025,0.11002711959899414,y = 0.020039 * exp(-0.011103*x),134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -logarithmic,Chlorophyll,546.301025,0.08587624549622919,y = 0.021467 + -0.001547*ln(x),134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -power,Chlorophyll,546.301025,0.07589213783045401,y = 0.022516 * x^-0.102241,134,10.960663313432837,3.9096921347220377,0.01786192537313433,0.0019057641301598596 -linear,Chlorophyll,550.468994,0.1269569921216488,y = 0.020121 + -0.000172*x,134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -exponential,Chlorophyll,550.468994,0.1175391734287099,y = 0.020411 * exp(-0.010816*x),134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -logarithmic,Chlorophyll,550.468994,0.0907980339917791,y = 0.021903 + -0.001572*ln(x),134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -power,Chlorophyll,550.468994,0.08162875081638976,y = 0.022867 * x^-0.099639,134,10.960663313432837,3.9096921347220377,0.01824102985074627,0.0018825013010254905 -linear,Chlorophyll,554.640991,0.1376426262180579,y = 0.020508 + -0.000178*x,134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -exponential,Chlorophyll,554.640991,0.12753098839026022,y = 0.020816 * exp(-0.011054*x),134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -logarithmic,Chlorophyll,554.640991,0.09810495477002423,y = 0.022354 + -0.001631*ln(x),134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -power,Chlorophyll,554.640991,0.08828430738543391,y = 0.023368 * x^-0.101637,134,10.960663313432837,3.9096921347220377,0.018552656716417912,0.0018796053138591957 -linear,Chlorophyll,558.815979,0.14438886343879165,y = 0.020984 + -0.000192*x,134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -exponential,Chlorophyll,558.815979,0.13400466793505816,y = 0.021319 * exp(-0.011710*x),134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -logarithmic,Chlorophyll,558.815979,0.10606464763119816,y = 0.023038 + -0.001786*ln(x),134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -power,Chlorophyll,558.815979,0.09560595602330613,y = 0.024181 * x^-0.109152,134,10.960663313432837,3.9096921347220377,0.018875544776119402,0.0019794547666891088 -linear,Chlorophyll,562.994995,0.13570684972920022,y = 0.021065 + -0.000193*x,134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -exponential,Chlorophyll,562.994995,0.1251679621881412,y = 0.021424 * exp(-0.011845*x),134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -logarithmic,Chlorophyll,562.994995,0.10005264191024388,y = 0.023135 + -0.001797*ln(x),134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -power,Chlorophyll,562.994995,0.08944628510214314,y = 0.024352 * x^-0.110685,134,10.960663313432837,3.9096921347220377,0.018946902985074628,0.002050816811679121 -linear,Chlorophyll,567.177002,0.03705163102869502,y = 0.020812 + -0.000155*x,134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -exponential,Chlorophyll,567.177002,0.02735476743599441,y = 0.021355 * exp(-0.011096*x),134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -logarithmic,Chlorophyll,567.177002,0.02624551679688847,y = 0.022403 + -0.001411*ln(x),134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -power,Chlorophyll,567.177002,0.01690050625981776,y = 0.024064 * x^-0.103446,134,10.960663313432837,3.9096921347220377,0.01911655970149254,0.0031426043067057114 -linear,Chlorophyll,571.362976,0.032367014815650186,y = 0.020732 + -0.000161*x,134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -logarithmic,Chlorophyll,571.362976,0.023243518566287924,y = 0.022412 + -0.001479*ln(x),134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -exponential,Chlorophyll,571.362976,0.021156108573575194,y = 0.021404 * exp(-0.012237*x),134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -power,Chlorophyll,571.362976,0.012371457852355827,y = 0.024473 * x^-0.115076,134,10.960663313432837,3.9096921347220377,0.018965664179104478,0.0035018296559745925 -linear,Chlorophyll,575.551025,0.003711200606445142,y = 0.019973 + -0.000095*x,134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -logarithmic,Chlorophyll,575.551025,0.0022851664540198824,y = 0.020813 + -0.000808*ln(x),134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -exponential,Chlorophyll,575.551025,-0.008535989595423121,y = 0.021158 * exp(-0.012309*x),134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -power,Chlorophyll,575.551025,-0.009305973499541542,y = 0.024221 * x^-0.115919,134,10.960663313432837,3.9096921347220377,0.018931119402985072,0.006097893443512235 -linear,Chlorophyll,579.744019,0.005094509026133509,y = 0.019711 + -0.000110*x,134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -logarithmic,Chlorophyll,579.744019,0.0034065768371064342,y = 0.020776 + -0.000974*ln(x),134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -exponential,Chlorophyll,579.744019,-0.007270136129956084,y = 0.020909 * exp(-0.013357*x),134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -power,Chlorophyll,579.744019,-0.008400608136997167,y = 0.024296 * x^-0.127275,134,10.960663313432837,3.9096921347220377,0.018505432835820897,0.006025405615191274 -linear,Chlorophyll,583.939026,0.004657425272328819,y = 0.019070 + -0.000108*x,134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -logarithmic,Chlorophyll,583.939026,0.003161690862374833,y = 0.020137 + -0.000968*ln(x),134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -exponential,Chlorophyll,583.939026,-0.00834323144293947,y = 0.020355 * exp(-0.014251*x),134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -power,Chlorophyll,583.939026,-0.009289166222129941,y = 0.023939 * x^-0.136644,134,10.960663313432837,3.9096921347220377,0.017881,0.006215784305887186 -linear,Chlorophyll,588.138,0.007038900978221574,y = 0.018745 + -0.000132*x,134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -logarithmic,Chlorophyll,588.138,0.005079658860641656,y = 0.020131 + -0.001218*ln(x),134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -exponential,Chlorophyll,588.138,-0.008087990598099282,y = 0.020176 * exp(-0.016777*x),134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -power,Chlorophyll,588.138,-0.009554552395312665,y = 0.024503 * x^-0.162327,134,10.960663313432837,3.9096921347220377,0.017294746268656718,0.006164975937402735 -linear,Chlorophyll,592.341003,0.005528079261697849,y = 0.017838 + -0.000118*x,134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -logarithmic,Chlorophyll,592.341003,0.003887007195125136,y = 0.019044 + -0.001073*ln(x),134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -exponential,Chlorophyll,592.341003,-0.011813537096786675,y = 0.019386 * exp(-0.017528*x),134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -power,Chlorophyll,592.341003,-0.012846809152319283,y = 0.023741 * x^-0.169433,134,10.960663313432837,3.9096921347220377,0.016543097014925373,0.006212725389009627 -linear,Chlorophyll,596.546997,0.003794780064093062,y = 0.016713 + -0.000101*x,134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -logarithmic,Chlorophyll,596.546997,0.0025823661966439815,y = 0.017707 + -0.000901*ln(x),134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -exponential,Chlorophyll,596.546997,-0.014874157713247849,y = 0.018368 * exp(-0.018321*x),134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -power,Chlorophyll,596.546997,-0.015374647488444415,y = 0.022702 * x^-0.177115,134,10.960663313432837,3.9096921347220377,0.015607044776119405,0.00640171329313859 -linear,Chlorophyll,600.755981,0.0031611200601100453,y = 0.015616 + -0.000092*x,134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -logarithmic,Chlorophyll,600.755981,0.002151138099984129,y = 0.016523 + -0.000822*ln(x),134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -exponential,Chlorophyll,600.755981,-0.015732414466808953,y = 0.017258 * exp(-0.018983*x),134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -power,Chlorophyll,600.755981,-0.016109249860633446,y = 0.021535 * x^-0.184339,134,10.960663313432837,3.9096921347220377,0.014608059701492537,0.006395783738002828 -linear,Chlorophyll,604.968994,0.002398045183009123,y = 0.014883 + -0.000082*x,134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -logarithmic,Chlorophyll,604.968994,0.001603534119833716,y = 0.015675 + -0.000725*ln(x),134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -power,Chlorophyll,604.968994,-0.019789876685375907,y = 0.021361 * x^-0.202172,134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -exponential,Chlorophyll,604.968994,-0.019848091450597183,y = 0.016749 * exp(-0.020787*x),134,10.960663313432837,3.9096921347220377,0.013985902985074627,0.0065333725432655055 -linear,Chlorophyll,609.184998,0.0026364151647212397,y = 0.014491 + -0.000087*x,134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -logarithmic,Chlorophyll,609.184998,0.001802623235843237,y = 0.015351 + -0.000777*ln(x),134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -exponential,Chlorophyll,609.184998,-0.02173372426195974,y = 0.016508 * exp(-0.022851*x),134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -power,Chlorophyll,609.184998,-0.021740201254617064,y = 0.021605 * x^-0.222988,134,10.960663313432837,3.9096921347220377,0.013541022388059702,0.006602440257226493 -linear,Chlorophyll,613.403992,0.002856835284101855,y = 0.014122 + -0.000091*x,134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -logarithmic,Chlorophyll,613.403992,0.0019870205661061124,y = 0.015038 + -0.000820*ln(x),134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -power,Chlorophyll,613.403992,-0.028809677197195516,y = 0.022780 * x^-0.263141,134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -exponential,Chlorophyll,613.403992,-0.02909727099411552,y = 0.016581 * exp(-0.026956*x),134,10.960663313432837,3.9096921347220377,0.013127970149253732,0.006635524455917487 -linear,Chlorophyll,617.627014,0.0029411042399954956,y = 0.013748 + -0.000092*x,134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -logarithmic,Chlorophyll,617.627014,0.0020597681456059336,y = 0.014681 + -0.000832*ln(x),134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -power,Chlorophyll,617.627014,-0.02980562740210102,y = 0.022702 * x^-0.275804,134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -exponential,Chlorophyll,617.627014,-0.030009751236651283,y = 0.016267 * exp(-0.028218*x),134,10.960663313432837,3.9096921347220377,0.012741731343283583,0.006619138380331145 -linear,Chlorophyll,621.853027,0.002549517816160085,y = 0.013405 + -0.000087*x,134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -logarithmic,Chlorophyll,621.853027,0.0017633821329291477,y = 0.014281 + -0.000787*ln(x),134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -power,Chlorophyll,621.853027,-0.03557395594809787,y = 0.023522 * x^-0.304801,134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -exponential,Chlorophyll,621.853027,-0.0360883361973503,y = 0.016274 * exp(-0.031185*x),134,10.960663313432837,3.9096921347220377,0.012447716417910447,0.006761993519104926 -linear,Chlorophyll,626.083008,0.00243086769672618,y = 0.013228 + -0.000086*x,134,10.960663313432837,3.9096921347220377,0.01228736567164179,0.006808151575409212 -logarithmic,Chlorophyll,626.083008,0.0016770114876123454,y = 0.014087 + -0.000773*ln(x),134,10.960663313432837,3.9096921347220377,0.01228736567164179,0.006808151575409212 -linear,Chlorophyll,630.315979,0.0020507276873319435,y = 0.013084 + -0.000080*x,134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -logarithmic,Chlorophyll,630.315979,0.0014098383321846653,y = 0.013886 + -0.000723*ln(x),134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -power,Chlorophyll,630.315979,-0.037502977238619506,y = 0.023711 * x^-0.319128,134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -exponential,Chlorophyll,630.315979,-0.03824118768398388,y = 0.016114 * exp(-0.032602*x),134,10.960663313432837,3.9096921347220377,0.012202574626865673,0.0069447202176291635 -linear,Chlorophyll,634.552002,0.0017288451024077833,y = 0.012968 + -0.000074*x,134,10.960663313432837,3.9096921347220377,0.012159492537313433,0.006937426491471543 -logarithmic,Chlorophyll,634.552002,0.0011589143811774338,y = 0.013684 + -0.000654*ln(x),134,10.960663313432837,3.9096921347220377,0.012159492537313433,0.006937426491471543 -linear,Chlorophyll,638.791992,0.0011243091081014622,y = 0.012803 + -0.000061*x,134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -logarithmic,Chlorophyll,638.791992,0.0007004467304244644,y = 0.013348 + -0.000520*ln(x),134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -power,Chlorophyll,638.791992,-0.039341503691473934,y = 0.023270 * x^-0.314552,134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -exponential,Chlorophyll,638.791992,-0.040722297966500065,y = 0.015930 * exp(-0.032288*x),134,10.960663313432837,3.9096921347220377,0.012136574626865673,0.007088601297076063 -linear,Chlorophyll,643.034973,0.0006784732036110297,y = 0.012527 + -0.000048*x,134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -logarithmic,Chlorophyll,643.034973,0.0003810729347989428,y = 0.012907 + -0.000387*ln(x),134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -power,Chlorophyll,643.034973,-0.02081846389883313,y = 0.018994 * x^-0.223479,134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -exponential,Chlorophyll,643.034973,-0.02135362421636633,y = 0.014510 * exp(-0.022936*x),134,10.960663313432837,3.9096921347220377,0.012004380597014924,0.007158811687218512 -linear,Chlorophyll,647.281006,0.0003862335627651259,y = 0.012126 + -0.000037*x,134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -logarithmic,Chlorophyll,647.281006,0.00018807939298448595,y = 0.012369 + -0.000276*ln(x),134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -power,Chlorophyll,647.281006,-0.01877601035356702,y = 0.017959 * x^-0.209287,134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -exponential,Chlorophyll,647.281006,-0.019328048239278806,y = 0.013958 * exp(-0.021494*x),134,10.960663313432837,3.9096921347220377,0.01172576119402985,0.007268962283181486 -linear,Chlorophyll,651.531006,0.00013536784274881253,y = 0.011403 + -0.000022*x,134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -logarithmic,Chlorophyll,651.531006,3.4274085199070825e-05,y = 0.011441 + -0.000119*ln(x),134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -power,Chlorophyll,651.531006,-0.01999886130480988,y = 0.017201 * x^-0.213892,134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -exponential,Chlorophyll,651.531006,-0.02080973971468425,y = 0.013316 * exp(-0.022113*x),134,10.960663313432837,3.9096921347220377,0.011164671641791043,0.007310371385073625 -linear,Chlorophyll,655.784973,6.712523797403058e-05,y = 0.010412 + -0.000016*x,134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -logarithmic,Chlorophyll,655.784973,7.939365778253382e-06,y = 0.010377 + -0.000058*ln(x),134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -power,Chlorophyll,655.784973,-0.02451200929710562,y = 0.017204 * x^-0.257829,134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -exponential,Chlorophyll,655.784973,-0.025546357658017715,y = 0.012631 * exp(-0.026616*x),134,10.960663313432837,3.9096921347220377,0.010241910447761193,0.007414076922911311 -linear,Chlorophyll,660.041016,2.3065421406842646e-05,y = 0.009045 + -0.000009*x,134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 -logarithmic,Chlorophyll,660.041016,8.478475440609756e-07,y = 0.008902 + 0.000019*ln(x),134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 -linear,Chlorophyll,664.302002,2.70996016560332e-05,y = 0.008101 + -0.000010*x,134,10.960663313432837,3.9096921347220377,0.007993440298507463,0.007397490717674307 -logarithmic,Chlorophyll,664.302002,4.148671942649784e-07,y = 0.007963 + 0.000013*ln(x),134,10.960663313432837,3.9096921347220377,0.007993440298507463,0.007397490717674307 -linear,Chlorophyll,668.565002,9.040046325403672e-06,y = 0.007498 + -0.000006*x,134,10.960663313432837,3.9096921347220377,0.0074355522388059704,0.007438585861600675 -logarithmic,Chlorophyll,668.565002,8.725061217407237e-06,y = 0.007294 + 0.000061*ln(x),134,10.960663313432837,3.9096921347220377,0.0074355522388059704,0.007438585861600675 -logarithmic,Chlorophyll,672.83197,2.8342079669063658e-05,y = 0.007006 + 0.000109*ln(x),134,10.960663313432837,3.9096921347220377,0.007259574626865672,0.0073841624312846075 -linear,Chlorophyll,672.83197,2.942331951416577e-07,y = 0.007271 + -0.000001*x,134,10.960663313432837,3.9096921347220377,0.007259574626865672,0.0073841624312846075 -logarithmic,Chlorophyll,677.10199,7.905307206101941e-05,y = 0.007009 + 0.000182*ln(x),134,10.960663313432837,3.9096921347220377,0.007434537313432836,0.007405361783473518 -linear,Chlorophyll,677.10199,8.391699477305892e-06,y = 0.007374 + 0.000005*x,134,10.960663313432837,3.9096921347220377,0.007434537313432836,0.007405361783473518 -logarithmic,Chlorophyll,681.375977,0.00035444194765099635,y = 0.007047 + 0.000397*ln(x),134,10.960663313432837,3.9096921347220377,0.007971380597014925,0.007601910615882189 -linear,Chlorophyll,681.375977,0.00018023567598490775,y = 0.007685 + 0.000026*x,134,10.960663313432837,3.9096921347220377,0.007971380597014925,0.007601910615882189 -logarithmic,Chlorophyll,685.653015,0.0012936127446737666,y = 0.007106 + 0.000788*ln(x),134,10.960663313432837,3.9096921347220377,0.00894305223880597,0.007911710832888247 -linear,Chlorophyll,685.653015,0.0010226571268574514,y = 0.008234 + 0.000065*x,134,10.960663313432837,3.9096921347220377,0.00894305223880597,0.007911710832888247 -logarithmic,Chlorophyll,689.932983,0.004302680997953723,y = 0.006459 + 0.001505*ln(x),134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -linear,Chlorophyll,689.932983,0.0041204289706771036,y = 0.008475 + 0.000136*x,134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -power,Chlorophyll,689.932983,-0.011112637221193156,y = 0.010691 * x^-0.061728,134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -exponential,Chlorophyll,689.932983,-0.012347372143508784,y = 0.010039 * exp(-0.007382*x),134,10.960663313432837,3.9096921347220377,0.009964873134328357,0.008279228255026581 -logarithmic,Chlorophyll,694.21698,0.009659788549096326,y = 0.007405 + 0.001260*ln(x),134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -linear,Chlorophyll,694.21698,0.008988938182027284,y = 0.009111 + 0.000112*x,134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -power,Chlorophyll,694.21698,-0.0008894306327071888,y = 0.009130 * x^0.038452,134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -exponential,Chlorophyll,694.21698,-0.002278256235976661,y = 0.009711 * exp(0.002541*x),134,10.960663313432837,3.9096921347220377,0.01034108208955224,0.004627698457727055 -logarithmic,Chlorophyll,698.505005,0.031440304449184886,y = 0.007932 + 0.000977*ln(x),134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -linear,Chlorophyll,698.505005,0.028545786078388646,y = 0.009266 + 0.000086*x,134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -power,Chlorophyll,698.505005,0.024301556337671393,y = 0.008426 * x^0.075955,134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -exponential,Chlorophyll,698.505005,0.021173949758028887,y = 0.009382 * exp(0.006346*x),134,10.960663313432837,3.9096921347220377,0.010207731343283583,0.0019876983508052013 -linear,Chlorophyll,702.794983,0.06296172218181084,y = 0.008305 + 0.000144*x,134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -logarithmic,Chlorophyll,702.794983,0.06154613752993454,y = 0.006284 + 0.001547*ln(x),134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -exponential,Chlorophyll,702.794983,0.05333717741162325,y = 0.008583 * exp(0.011176*x),134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -power,Chlorophyll,702.794983,0.052353333406120695,y = 0.007280 * x^0.123243,134,10.960663313432837,3.9096921347220377,0.009888313432835822,0.002250167471107098 -linear,Chlorophyll,707.088989,0.0722787565252282,y = 0.007176 + 0.000174*x,134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -logarithmic,Chlorophyll,707.088989,0.06798251906890818,y = 0.004820 + 0.001831*ln(x),134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -exponential,Chlorophyll,707.088989,0.05918259759570621,y = 0.007631 * exp(0.013614*x),134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -power,Chlorophyll,707.088989,0.05571330673697561,y = 0.006287 * x^0.147166,134,10.960663313432837,3.9096921347220377,0.009086067164179106,0.0025340421111067013 -linear,Chlorophyll,711.387024,0.0801501663676073,y = 0.005716 + 0.000199*x,134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -logarithmic,Chlorophyll,711.387024,0.07410981134062689,y = 0.003064 + 0.002076*ln(x),134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -exponential,Chlorophyll,711.387024,0.06368164013940003,y = 0.006342 * exp(0.016959*x),134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -power,Chlorophyll,711.387024,0.05885933871457438,y = 0.005001 * x^0.181749,134,10.960663313432837,3.9096921347220377,0.007900276119402985,0.0027516224396933074 -linear,Chlorophyll,715.687012,0.07646592984102929,y = 0.004316 + 0.000182*x,134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -logarithmic,Chlorophyll,715.687012,0.07053737510880576,y = 0.001896 + 0.001896*ln(x),134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -exponential,Chlorophyll,715.687012,0.057012898990752126,y = 0.004952 * exp(0.018319*x),134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -power,Chlorophyll,715.687012,0.05263846505811587,y = 0.003824 * x^0.197049,134,10.960663313432837,3.9096921347220377,0.00631360447761194,0.0025762009517042803 -linear,Chlorophyll,719.992004,0.07445743675368166,y = 0.003267 + 0.000166*x,134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -logarithmic,Chlorophyll,719.992004,0.06836961037451539,y = 0.001065 + 0.001728*ln(x),134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -exponential,Chlorophyll,719.992004,0.05296886200774753,y = 0.003871 * exp(0.020260*x),134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -power,Chlorophyll,719.992004,0.048528532136251745,y = 0.002911 * x^0.217642,134,10.960663313432837,3.9096921347220377,0.00509136567164179,0.002385295002066048 -linear,Chlorophyll,724.299011,0.06745397553654364,y = 0.002420 + 0.000133*x,134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -logarithmic,Chlorophyll,724.299011,0.062493450238378045,y = 0.000642 + 0.001390*ln(x),134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -exponential,Chlorophyll,724.299011,0.045936345781994126,y = 0.002921 * exp(0.020727*x),134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -power,Chlorophyll,724.299011,0.04270170271520268,y = 0.002169 * x^0.225290,134,10.960663313432837,3.9096921347220377,0.0038816044776119395,0.0020072190423221247 -linear,Chlorophyll,728.609985,0.043742722087426356,y = 0.001822 + 0.000088*x,134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -logarithmic,Chlorophyll,728.609985,0.04115482350546895,y = 0.000631 + 0.000926*ln(x),134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -exponential,Chlorophyll,728.609985,0.025695766879270887,y = 0.002157 * exp(0.017908*x),134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -power,Chlorophyll,728.609985,0.024423938138158685,y = 0.001657 * x^0.197225,134,10.960663313432837,3.9096921347220377,0.0027881044776119405,0.0016469934764511023 -linear,Chlorophyll,732.924988,0.013546034482326164,y = 0.001304 + 0.000072*x,134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -logarithmic,Chlorophyll,732.924988,0.013045034204567596,y = 0.000305 + 0.000769*ln(x),134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -power,Chlorophyll,732.924988,-0.0016075191011517553,y = 0.001527 * x^0.092327,134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -exponential,Chlorophyll,732.924988,-0.002218314899776086,y = 0.001749 * exp(0.007256*x),134,10.960663313432837,3.9096921347220377,0.0020962686567164183,0.002429007647518667 -linear,Chlorophyll,737.242004,0.01274011186937285,y = 0.000153 + 0.000183*x,134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -logarithmic,Chlorophyll,737.242004,0.011709594088295416,y = -0.002273 + 0.001903*ln(x),134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -power,Chlorophyll,737.242004,-0.004968418579431422,y = 0.001306 * x^0.096424,134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -exponential,Chlorophyll,737.242004,-0.0051926295251412125,y = 0.001506 * exp(0.007477*x),134,10.960663313432837,3.9096921347220377,0.0021605000000000005,0.006345526772941662 -linear,Chlorophyll,741.564026,0.01237420528041,y = -0.000778 + 0.000290*x,134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -logarithmic,Chlorophyll,741.564026,0.011168399659673534,y = -0.004556 + 0.002987*ln(x),134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -power,Chlorophyll,741.564026,-0.006382018366340336,y = 0.001343 * x^0.060248,134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -exponential,Chlorophyll,741.564026,-0.006486914714434855,y = 0.001471 * exp(0.004477*x),134,10.960663313432837,3.9096921347220377,0.0024028432835820897,0.010199237979184374 -linear,Chlorophyll,745.888,0.01208622807607107,y = -0.000537 + 0.000255*x,134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -logarithmic,Chlorophyll,745.888,0.010783256099801686,y = -0.003818 + 0.002607*ln(x),134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -exponential,Chlorophyll,745.888,-0.006541603078447977,y = 0.001459 * exp(0.002645*x),134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -power,Chlorophyll,745.888,-0.006568012798676248,y = 0.001406 * x^0.028233,134,10.960663313432837,3.9096921347220377,0.0022554402985074623,0.00905887910227967 -linear,Chlorophyll,750.216003,0.01149077406645782,y = -0.000338 + 0.000223*x,134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -logarithmic,Chlorophyll,750.216003,0.010336178508392302,y = -0.003238 + 0.002295*ln(x),134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -power,Chlorophyll,750.216003,-0.007024448671629768,y = 0.001432 * x^-0.001028,134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -exponential,Chlorophyll,750.216003,-0.007146981046715295,y = 0.001443 * exp(-0.000923*x),134,10.960663313432837,3.9096921347220377,0.0021108358208955223,0.008148439806888069 -linear,Chlorophyll,754.546997,0.011676905008792149,y = -0.001694 + 0.000351*x,134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -logarithmic,Chlorophyll,754.546997,0.010451547578783416,y = -0.006234 + 0.003601*ln(x),134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -power,Chlorophyll,754.546997,-0.008219467609217102,y = 0.001485 * x^-0.141847,134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -exponential,Chlorophyll,754.546997,-0.008391038873995615,y = 0.001256 * exp(-0.014916*x),134,10.960663313432837,3.9096921347220377,0.0021568134328358206,0.012712462658286435 -linear,Chlorophyll,758.882019,0.02592512089319743,y = 0.000332 + 0.000117*x,134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -logarithmic,Chlorophyll,758.882019,0.023289682011479407,y = -0.001184 + 0.001201*ln(x),134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -exponential,Chlorophyll,758.882019,0.0076383999092375365,y = 0.000992 * exp(0.028888*x),134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -power,Chlorophyll,758.882019,0.0061542760831626575,y = 0.000678 * x^0.299540,134,10.960663313432837,3.9096921347220377,0.001613589552238806,0.002839881175811175 -linear,Chlorophyll,763.219971,0.016331099062929955,y = -0.000309 + 0.000207*x,134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -logarithmic,Chlorophyll,763.219971,0.014364159452194492,y = -0.002937 + 0.002101*ln(x),134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -exponential,Chlorophyll,763.219971,-0.002879629869520839,y = 0.001084 * exp(0.023081*x),134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -power,Chlorophyll,763.219971,-0.0036347268087895124,y = 0.000823 * x^0.227200,134,10.960663313432837,3.9096921347220377,0.0019577089552238807,0.006326078022490415 -linear,Chlorophyll,767.562012,0.013734746280580246,y = 0.000053 + 0.000156*x,134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -logarithmic,Chlorophyll,767.562012,0.012255690731871494,y = -0.001952 + 0.001593*ln(x),134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -exponential,Chlorophyll,767.562012,-0.004092583942566952,y = 0.001165 * exp(0.012080*x),134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -power,Chlorophyll,767.562012,-0.00439521419002209,y = 0.000996 * x^0.123809,134,10.960663313432837,3.9096921347220377,0.0017597089552238805,0.005193771329607048 -linear,Chlorophyll,771.906982,0.016320574765209428,y = 0.000317 + 0.000110*x,134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -logarithmic,Chlorophyll,771.906982,0.014546529767741512,y = -0.001099 + 0.001125*ln(x),134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -exponential,Chlorophyll,771.906982,-0.0007298834218001371,y = 0.001025 * exp(0.017660*x),134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -power,Chlorophyll,771.906982,-0.0014459883223563175,y = 0.000819 * x^0.179543,134,10.960663313432837,3.9096921347220377,0.0015226194029850744,0.0033670223010905994 -linear,Chlorophyll,776.255005,0.013796046606459278,y = 0.000740 + 0.000072*x,134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -logarithmic,Chlorophyll,776.255005,0.012092441153714883,y = -0.000167 + 0.000726*ln(x),134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -exponential,Chlorophyll,776.255005,-0.0025031550633876076,y = 0.001209 * exp(0.008693*x),134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -power,Chlorophyll,776.255005,-0.0031841408353259215,y = 0.001093 * x^0.084233,134,10.960663313432837,3.9096921347220377,0.0015243955223880595,0.002382068739119507 -linear,Chlorophyll,780.606995,0.020495592564976572,y = 0.000739 + 0.000066*x,134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -logarithmic,Chlorophyll,780.606995,0.01933435376928716,y = -0.000155 + 0.000694*ln(x),134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -power,Chlorophyll,780.606995,0.00417461173259015,y = 0.000868 * x^0.177284,134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -exponential,Chlorophyll,780.606995,0.004156141926620949,y = 0.001105 * exp(0.015635*x),134,10.960663313432837,3.9096921347220377,0.001462328358208955,0.001801391351880165 -linear,Chlorophyll,784.961975,0.021755422019536175,y = 0.000788 + 0.000057*x,134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -logarithmic,Chlorophyll,784.961975,0.017664886852162054,y = 0.000116 + 0.000556*ln(x),134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -exponential,Chlorophyll,784.961975,0.0034422768172869267,y = 0.001109 * exp(0.012988*x),134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -power,Chlorophyll,784.961975,0.0003808059654853979,y = 0.000984 * x^0.112589,134,10.960663313432837,3.9096921347220377,0.0014125447761194029,0.001510507088995463 -linear,Chlorophyll,789.320007,0.043367659619824805,y = 0.000649 + 0.000082*x,134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -logarithmic,Chlorophyll,789.320007,0.038409875145745676,y = -0.000395 + 0.000832*ln(x),134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -exponential,Chlorophyll,789.320007,0.026002389448048557,y = 0.001020 * exp(0.028931*x),134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -power,Chlorophyll,789.320007,0.022165630417928628,y = 0.000698 * x^0.299052,134,10.960663313432837,3.9096921347220377,0.0015427910447761196,0.001531740138489588 -linear,Chlorophyll,793.682007,0.045606716978680684,y = 0.000690 + 0.000084*x,134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -logarithmic,Chlorophyll,793.682007,0.03840486464660908,y = -0.000341 + 0.000839*ln(x),134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -exponential,Chlorophyll,793.682007,0.025844197165889593,y = 0.001092 * exp(0.026877*x),134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -power,Chlorophyll,793.682007,0.0197310845605696,y = 0.000795 * x^0.262671,134,10.960663313432837,3.9096921347220377,0.001615179104477612,0.0015458269286355185 -linear,Chlorophyll,798.046997,0.05291687536605305,y = 0.000563 + 0.000098*x,134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -logarithmic,Chlorophyll,798.046997,0.04472311171573551,y = -0.000641 + 0.000979*ln(x),134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -exponential,Chlorophyll,798.046997,0.028058328916172992,y = 0.001060 * exp(0.029439*x),134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -power,Chlorophyll,798.046997,0.021436519217983063,y = 0.000744 * x^0.290697,134,10.960663313432837,3.9096921347220377,0.0016406641791044776,0.0016713277988189281 -linear,Chlorophyll,802.416016,0.060413004491346234,y = 0.000466 + 0.000109*x,134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -logarithmic,Chlorophyll,802.416016,0.05101453638227127,y = -0.000866 + 0.001084*ln(x),134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -exponential,Chlorophyll,802.416016,0.0330704948210061,y = 0.001022 * exp(0.032943*x),134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -power,Chlorophyll,802.416016,0.025369073855778357,y = 0.000686 * x^0.325774,134,10.960663313432837,3.9096921347220377,0.0016603507462686566,0.00173259510844654 -linear,Chlorophyll,806.788025,0.05998246946359442,y = 0.000383 + 0.000114*x,134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -logarithmic,Chlorophyll,806.788025,0.05004260064643584,y = -0.000997 + 0.001129*ln(x),134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -exponential,Chlorophyll,806.788025,0.03073454834672984,y = 0.000982 * exp(0.033910*x),134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -power,Chlorophyll,806.788025,0.022446700301405054,y = 0.000662 * x^0.328791,134,10.960663313432837,3.9096921347220377,0.0016336492537313433,0.0018214778822386276 -linear,Chlorophyll,811.164001,0.06199436327274466,y = 0.000193 + 0.000119*x,134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -logarithmic,Chlorophyll,811.164001,0.05345700266587472,y = -0.001285 + 0.001192*ln(x),134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -exponential,Chlorophyll,811.164001,0.03466499966616288,y = 0.000817 * exp(0.041038*x),134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -power,Chlorophyll,811.164001,0.02774987016970709,y = 0.000489 * x^0.413598,134,10.960663313432837,3.9096921347220377,0.00149255223880597,0.0018610729394833178 -linear,Chlorophyll,815.541992,0.05377501182020772,y = 0.000336 + 0.000106*x,134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -logarithmic,Chlorophyll,815.541992,0.04541196710758344,y = -0.000959 + 0.001053*ln(x),134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -exponential,Chlorophyll,815.541992,0.029780387106763118,y = 0.000871 * exp(0.036764*x),134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -power,Chlorophyll,815.541992,0.02259630556998271,y = 0.000564 * x^0.358942,134,10.960663313432837,3.9096921347220377,0.0014953880597014925,0.0017840748382604765 -linear,Chlorophyll,819.924988,0.046060394085339684,y = 0.000183 + 0.000105*x,134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -logarithmic,Chlorophyll,819.924988,0.04124143103053901,y = -0.001180 + 0.001081*ln(x),134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -exponential,Chlorophyll,819.924988,0.024172923620458642,y = 0.000721 * exp(0.041558*x),134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -power,Chlorophyll,819.924988,0.020698277367864337,y = 0.000415 * x^0.432441,134,10.960663313432837,3.9096921347220377,0.0013392835820895523,0.0019214842584320314 -linear,Chlorophyll,824.309998,0.019229517688291176,y = 0.000174 + 0.000100*x,134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -logarithmic,Chlorophyll,824.309998,0.017049456706681787,y = -0.001101 + 0.001016*ln(x),134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -exponential,Chlorophyll,824.309998,-0.0013691164176472537,y = 0.000805 * exp(0.020115*x),134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -power,Chlorophyll,824.309998,-0.00228368459628836,y = 0.000624 * x^0.203487,134,10.960663313432837,3.9096921347220377,0.0012656044776119403,0.0028070356968274437 -linear,Chlorophyll,828.698975,0.021582205152547496,y = -0.000706 + 0.000171*x,134,10.960663313432837,3.9096921347220377,0.0011649477611940298,0.004543819230423196 -logarithmic,Chlorophyll,828.698975,0.01910220662486728,y = -0.002889 + 0.001740*ln(x),134,10.960663313432837,3.9096921347220377,0.0011649477611940298,0.004543819230423196 -linear,Chlorophyll,833.09198,0.019106777392842944,y = -0.000521 + 0.000152*x,134,10.960663313432837,3.9096921347220377,0.0011438880597014925,0.004296265257070513 -logarithmic,Chlorophyll,833.09198,0.017688466235980305,y = -0.002545 + 0.001583*ln(x),134,10.960663313432837,3.9096921347220377,0.0011438880597014925,0.004296265257070513 -linear,Chlorophyll,837.487,0.01745847226311259,y = -0.000612 + 0.000154*x,134,10.960663313432837,3.9096921347220377,0.0010808880597014926,0.00456947731205439 -logarithmic,Chlorophyll,837.487,0.015969564742421505,y = -0.002647 + 0.001600*ln(x),134,10.960663313432837,3.9096921347220377,0.0010808880597014926,0.00456947731205439 -linear,Chlorophyll,841.887024,0.020571912766418676,y = -0.000836 + 0.000165*x,134,10.960663313432837,3.9096921347220377,0.000975223880597015,0.004505175408054626 -logarithmic,Chlorophyll,841.887024,0.01857954883427715,y = -0.002989 + 0.001702*ln(x),134,10.960663313432837,3.9096921347220377,0.000975223880597015,0.004505175408054626 -linear,Chlorophyll,846.289001,0.017666193062245705,y = -0.000573 + 0.000159*x,134,10.960663313432837,3.9096921347220377,0.0011751492537313433,0.004690356775258772 -logarithmic,Chlorophyll,846.289001,0.015209283936141516,y = -0.002559 + 0.001603*ln(x),134,10.960663313432837,3.9096921347220377,0.0011751492537313433,0.004690356775258772 -linear,Chlorophyll,850.695007,0.020034265491308823,y = -0.000830 + 0.000168*x,134,10.960663313432837,3.9096921347220377,0.0010073805970149251,0.004629553145314909 -logarithmic,Chlorophyll,850.695007,0.01744543460758463,y = -0.002940 + 0.001694*ln(x),134,10.960663313432837,3.9096921347220377,0.0010073805970149251,0.004629553145314909 -linear,Chlorophyll,855.104004,0.015865352453769743,y = -0.000772 + 0.000165*x,134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 -logarithmic,Chlorophyll,855.104004,0.01432846575764024,y = -0.002925 + 0.001702*ln(x),134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 -linear,Chlorophyll,859.517029,0.019429355449413932,y = -0.000838 + 0.000167*x,134,10.960663313432837,3.9096921347220377,0.0009975746268656716,0.004697662523503507 -logarithmic,Chlorophyll,859.517029,0.01692099708734196,y = -0.002948 + 0.001693*ln(x),134,10.960663313432837,3.9096921347220377,0.0009975746268656716,0.004697662523503507 -linear,Chlorophyll,863.932983,0.018492121363953173,y = -0.001032 + 0.000194*x,134,10.960663313432837,3.9096921347220377,0.001096402985074627,0.005584099891548954 -logarithmic,Chlorophyll,863.932983,0.01657550912114314,y = -0.003545 + 0.001992*ln(x),134,10.960663313432837,3.9096921347220377,0.001096402985074627,0.005584099891548954 -linear,Chlorophyll,868.353027,0.023856603861747816,y = -0.001298 + 0.000212*x,134,10.960663313432837,3.9096921347220377,0.001024410447761194,0.005364012357399879 -logarithmic,Chlorophyll,868.353027,0.02163307555513183,y = -0.004069 + 0.002186*ln(x),134,10.960663313432837,3.9096921347220377,0.001024410447761194,0.005364012357399879 -linear,Chlorophyll,872.776001,0.01720822389418175,y = -0.000913 + 0.000184*x,134,10.960663313432837,3.9096921347220377,0.0011064925373134328,0.0054913284581254935 -logarithmic,Chlorophyll,872.776001,0.015351856894195048,y = -0.003286 + 0.001885*ln(x),134,10.960663313432837,3.9096921347220377,0.0011064925373134328,0.0054913284581254935 -linear,Chlorophyll,877.202026,0.02114400380397219,y = -0.001279 + 0.000211*x,134,10.960663313432837,3.9096921347220377,0.0010304626865671645,0.005664719391631075 -logarithmic,Chlorophyll,877.202026,0.018654803312690205,y = -0.003965 + 0.002144*ln(x),134,10.960663313432837,3.9096921347220377,0.0010304626865671645,0.005664719391631075 -linear,Chlorophyll,881.632019,0.024894268838071443,y = -0.001506 + 0.000231*x,134,10.960663313432837,3.9096921347220377,0.0010241940298507462,0.005720007686402323 -logarithmic,Chlorophyll,881.632019,0.02231090779764633,y = -0.004492 + 0.002367*ln(x),134,10.960663313432837,3.9096921347220377,0.0010241940298507462,0.005720007686402323 -linear,Chlorophyll,886.065002,0.02653029310980104,y = -0.001332 + 0.000214*x,134,10.960663313432837,3.9096921347220377,0.0010117611940298505,0.005133157202769544 -logarithmic,Chlorophyll,886.065002,0.02415132163213396,y = -0.004138 + 0.002210*ln(x),134,10.960663313432837,3.9096921347220377,0.0010117611940298505,0.005133157202769544 -linear,Chlorophyll,890.502014,0.019079011868917917,y = -0.001258 + 0.000208*x,134,10.960663313432837,3.9096921347220377,0.0010267611940298507,0.0058991462652988715 -logarithmic,Chlorophyll,890.502014,0.016625122108838264,y = -0.003884 + 0.002108*ln(x),134,10.960663313432837,3.9096921347220377,0.0010267611940298507,0.0058991462652988715 -linear,Chlorophyll,894.940979,0.024644485205488564,y = -0.001350 + 0.000227*x,134,10.960663313432837,3.9096921347220377,0.0011329776119402986,0.005641248295840176 -logarithmic,Chlorophyll,894.940979,0.02251331717376026,y = -0.004332 + 0.002345*ln(x),134,10.960663313432837,3.9096921347220377,0.0011329776119402986,0.005641248295840176 -linear,Chlorophyll,899.38501,0.03288381652407146,y = -0.001508 + 0.000260*x,134,10.960663313432837,3.9096921347220377,0.0013370597014925373,0.005596229357905776 -logarithmic,Chlorophyll,899.38501,0.03016565326116205,y = -0.004938 + 0.002693*ln(x),134,10.960663313432837,3.9096921347220377,0.0013370597014925373,0.005596229357905776 -linear,Chlorophyll,903.830994,0.035029971829793505,y = -0.001832 + 0.000272*x,134,10.960663313432837,3.9096921347220377,0.0011536194029850746,0.005689943105970018 -logarithmic,Chlorophyll,903.830994,0.032438784908441876,y = -0.005463 + 0.002840*ln(x),134,10.960663313432837,3.9096921347220377,0.0011536194029850746,0.005689943105970018 -linear,Chlorophyll,908.281006,0.04451101443584671,y = -0.002025 + 0.000326*x,134,10.960663313432837,3.9096921347220377,0.0015535074626865672,0.006050183384103955 -logarithmic,Chlorophyll,908.281006,0.04098727272198477,y = -0.006354 + 0.003394*ln(x),134,10.960663313432837,3.9096921347220377,0.0015535074626865672,0.006050183384103955 -linear,Chlorophyll,912.734985,0.04418194647792806,y = -0.002162 + 0.000344*x,134,10.960663313432837,3.9096921347220377,0.0016077238805970152,0.006397218804971693 -logarithmic,Chlorophyll,912.734985,0.03771808632859286,y = -0.006413 + 0.003443*ln(x),134,10.960663313432837,3.9096921347220377,0.0016077238805970152,0.006397218804971693 -linear,Chlorophyll,917.192017,0.04798422256578916,y = -0.001730 + 0.000296*x,134,10.960663313432837,3.9096921347220377,0.0015105074626865674,0.005276653162112126 -logarithmic,Chlorophyll,917.192017,0.04314471524553409,y = -0.005566 + 0.003037*ln(x),134,10.960663313432837,3.9096921347220377,0.0015105074626865674,0.005276653162112126 -linear,Chlorophyll,921.651978,0.032258841220259904,y = -0.001537 + 0.000282*x,134,10.960663313432837,3.9096921347220377,0.0015546641791044776,0.0061404282666335346 -logarithmic,Chlorophyll,921.651978,0.028570814973279623,y = -0.005146 + 0.002876*ln(x),134,10.960663313432837,3.9096921347220377,0.0015546641791044776,0.0061404282666335346 -linear,Chlorophyll,926.116028,0.03700908239110634,y = -0.001467 + 0.000302*x,134,10.960663313432837,3.9096921347220377,0.0018425149253731344,0.0061359449742797705 -logarithmic,Chlorophyll,926.116028,0.03201058133428225,y = -0.005245 + 0.003042*ln(x),134,10.960663313432837,3.9096921347220377,0.0018425149253731344,0.0061359449742797705 -linear,Chlorophyll,930.583008,0.13672053325122402,y = -0.002670 + 0.000668*x,134,10.960663313432837,3.9096921347220377,0.0046567164179104475,0.007068415565467862 -logarithmic,Chlorophyll,930.583008,0.12021219690890728,y = -0.011165 + 0.006791*ln(x),134,10.960663313432837,3.9096921347220377,0.0046567164179104475,0.007068415565467862 -linear,Chlorophyll,935.052979,0.10169174465005926,y = -0.003412 + 0.000844*x,134,10.960663313432837,3.9096921347220377,0.005836611940298507,0.010344714149481574 -logarithmic,Chlorophyll,935.052979,0.0879115642867252,y = -0.013965 + 0.008499*ln(x),134,10.960663313432837,3.9096921347220377,0.005836611940298507,0.010344714149481574 -linear,Chlorophyll,939.526978,0.05650685234330488,y = -0.000266 + 0.000446*x,134,10.960663313432837,3.9096921347220377,0.004626597014925373,0.007341116269097569 -logarithmic,Chlorophyll,939.526978,0.042500038847443355,y = -0.005144 + 0.004194*ln(x),134,10.960663313432837,3.9096921347220377,0.004626597014925373,0.007341116269097569 -linear,Chlorophyll,944.004028,0.1409144061847427,y = -0.005615 + 0.001030*x,134,10.960663313432837,3.9096921347220377,0.005671529850746269,0.010724721720420173 -logarithmic,Chlorophyll,944.004028,0.11738954814724845,y = -0.018051 + 0.010182*ln(x),134,10.960663313432837,3.9096921347220377,0.005671529850746269,0.010724721720420173 -linear,Chlorophyll,948.484985,0.1278834494635377,y = -0.005245 + 0.000898*x,134,10.960663313432837,3.9096921347220377,0.0045965970149253734,0.009816821927842846 -logarithmic,Chlorophyll,948.484985,0.1051196488753805,y = -0.015952 + 0.008819*ln(x),134,10.960663313432837,3.9096921347220377,0.0045965970149253734,0.009816821927842846 -linear,Chlorophyll,952.968994,0.13249227032536504,y = -0.004853 + 0.000973*x,134,10.960663313432837,3.9096921347220377,0.005810186567164179,0.010449515267032196 -logarithmic,Chlorophyll,952.968994,0.11335983785512993,y = -0.016904 + 0.009749*ln(x),134,10.960663313432837,3.9096921347220377,0.005810186567164179,0.010449515267032196 -linear,Chlorophyll,957.455994,0.1277239788554937,y = -0.004033 + 0.000880*x,134,10.960663313432837,3.9096921347220377,0.005609776119402986,0.009624500382955951 -logarithmic,Chlorophyll,957.455994,0.10417499490400162,y = -0.014445 + 0.008608*ln(x),134,10.960663313432837,3.9096921347220377,0.005609776119402986,0.009624500382955951 -linear,Chlorophyll,961.947021,0.0855760468457214,y = -0.002892 + 0.000704*x,134,10.960663313432837,3.9096921347220377,0.004827671641791044,0.009412852176738786 -logarithmic,Chlorophyll,961.947021,0.07127076265553767,y = -0.011396 + 0.006963*ln(x),134,10.960663313432837,3.9096921347220377,0.004827671641791044,0.009412852176738786 -linear,Chlorophyll,966.440979,0.06587183855631606,y = -0.002339 + 0.000555*x,134,10.960663313432837,3.9096921347220377,0.0037471417910447764,0.008458583491864964 -logarithmic,Chlorophyll,966.440979,0.05598365214189571,y = -0.009174 + 0.005546*ln(x),134,10.960663313432837,3.9096921347220377,0.0037471417910447764,0.008458583491864964 -linear,Chlorophyll,970.937988,0.06413196906396867,y = -0.002253 + 0.000547*x,134,10.960663313432837,3.9096921347220377,0.003736731343283582,0.008437412920646661 -logarithmic,Chlorophyll,970.937988,0.05344664644444186,y = -0.008857 + 0.005405*ln(x),134,10.960663313432837,3.9096921347220377,0.003736731343283582,0.008437412920646661 -linear,Chlorophyll,975.439026,0.050655072210295304,y = -0.001347 + 0.000485*x,134,10.960663313432837,3.9096921347220377,0.0039709179104477615,0.008428953291941944 -logarithmic,Chlorophyll,975.439026,0.04004538724688922,y = -0.006919 + 0.004674*ln(x),134,10.960663313432837,3.9096921347220377,0.0039709179104477615,0.008428953291941944 -linear,Chlorophyll,979.94397,0.053125261271666835,y = -0.001269 + 0.000527*x,134,10.960663313432837,3.9096921347220377,0.004507320895522388,0.008938622789175931 -logarithmic,Chlorophyll,979.94397,0.04229638596970631,y = -0.007361 + 0.005094*ln(x),134,10.960663313432837,3.9096921347220377,0.004507320895522388,0.008938622789175931 -linear,Chlorophyll,984.450989,0.08789645152127279,y = -0.003521 + 0.000676*x,134,10.960663313432837,3.9096921347220377,0.0038840746268656717,0.008908837321854442 -logarithmic,Chlorophyll,984.450989,0.07481832038421343,y = -0.011848 + 0.006752*ln(x),134,10.960663313432837,3.9096921347220377,0.0038840746268656717,0.008908837321854442 -linear,Chlorophyll,988.963013,0.08457349098645517,y = -0.003461 + 0.000761*x,134,10.960663313432837,3.9096921347220377,0.004877097014925373,0.010226867156361797 -logarithmic,Chlorophyll,988.963013,0.0626221596339478,y = -0.011645 + 0.007091*ln(x),134,10.960663313432837,3.9096921347220377,0.004877097014925373,0.010226867156361797 -linear,Chlorophyll,993.47699,0.1134844755445722,y = -0.004307 + 0.000958*x,134,10.960663313432837,3.9096921347220377,0.00618789552238806,0.0111130950665975 -logarithmic,Chlorophyll,993.47699,0.10027045293847281,y = -0.016531 + 0.009751*ln(x),134,10.960663313432837,3.9096921347220377,0.00618789552238806,0.0111130950665975 -linear,Chlorophyll,997.994995,0.10101902617501812,y = -0.004767 + 0.000926*x,134,10.960663313432837,3.9096921347220377,0.005378410447761194,0.01138568086193099 -logarithmic,Chlorophyll,997.994995,0.08312184949951051,y = -0.015814 + 0.009096*ln(x),134,10.960663313432837,3.9096921347220377,0.005378410447761194,0.01138568086193099 -linear,Chlorophyll,Al10SABI,0.12358552390181055,y = -0.439887 + 0.004771*x,134,10.960663313432837,3.9096921347220377,-0.38759527726255294,0.053058693427890484 -logarithmic,Chlorophyll,Al10SABI,0.11879573339994454,y = -0.505661 + 0.050673*ln(x),134,10.960663313432837,3.9096921347220377,-0.38759527726255294,0.053058693427890484 -linear,Chlorophyll,Am092Bsub,0.1885121964498917,y = -0.000416 + 0.000036*x,134,10.960663313432837,3.9096921347220377,-2.2059701492527586e-05,0.000323751511520543 -logarithmic,Chlorophyll,Am092Bsub,0.18262380528639088,y = -0.000915 + 0.000383*ln(x),134,10.960663313432837,3.9096921347220377,-2.2059701492527586e-05,0.000323751511520543 -linear,Chlorophyll,Am09KBBI,0.4762643285625632,y = -0.043335 + 0.003808*x,133,10.9134502556391,3.886119767718547,-0.0017793295272656735,0.021441910619729863 -logarithmic,Chlorophyll,Am09KBBI,0.43987401331105946,y = -0.093808 + 0.039564*ln(x),133,10.9134502556391,3.886119767718547,-0.0017793295272656735,0.021441910619729863 -linear,Chlorophyll,Be162B643sub629,0.11325211782580646,y = -0.000557 + 0.000033*x,134,10.960663313432837,3.9096921347220377,-0.0001981940298507127,0.0003804186515039719 -logarithmic,Chlorophyll,Be162B643sub629,0.10118775386855117,y = -0.000979 + 0.000335*ln(x),134,10.960663313432837,3.9096921347220377,-0.0001981940298507127,0.0003804186515039719 -linear,Chlorophyll,Be162B700sub601,0.0169444048529096,y = -0.006350 + 0.000178*x,134,10.960663313432837,3.9096921347220377,-0.004400328358208927,0.0053424248572036485 -logarithmic,Chlorophyll,Be162B700sub601,0.014761393895308395,y = -0.008591 + 0.001799*ln(x),134,10.960663313432837,3.9096921347220377,-0.004400328358208927,0.0053424248572036485 -linear,Chlorophyll,Be162BsubPhy,0.03688932214445073,y = -0.009806 + 0.000273*x,134,10.960663313432837,3.9096921347220377,-0.006814365671641769,0.005555633366019352 -logarithmic,Chlorophyll,Be162BsubPhy,0.031115779994116965,y = -0.013141 + 0.002715*ln(x),134,10.960663313432837,3.9096921347220377,-0.006814365671641769,0.005555633366019352 -linear,Chlorophyll,Be16FLHBlueRedNIR,0.01538700206829402,y = -0.003983 + 0.000086*x,134,10.960663313432837,3.9096921347220377,-0.0030460074626865365,0.0026953295052247923 -logarithmic,Chlorophyll,Be16FLHBlueRedNIR,0.01138782391370985,y = -0.004903 + 0.000797*ln(x),134,10.960663313432837,3.9096921347220377,-0.0030460074626865365,0.0026953295052247923 -linear,Chlorophyll,Be16FLHGreenRedNIR,0.010218580183159132,y = -0.011939 + 0.000183*x,134,10.960663313432837,3.9096921347220377,-0.009929455223880576,0.007090511093103789 -logarithmic,Chlorophyll,Be16FLHGreenRedNIR,0.008441213911274725,y = -0.014135 + 0.001805*ln(x),134,10.960663313432837,3.9096921347220377,-0.009929455223880576,0.007090511093103789 -linear,Chlorophyll,Be16FLHVioletRedNIR,0.013682668849342106,y = -0.004234 + 0.000082*x,134,10.960663313432837,3.9096921347220377,-0.0033393432835820583,0.002727533132087303 -logarithmic,Chlorophyll,Be16FLHVioletRedNIR,0.009926378059882501,y = -0.005094 + 0.000753*ln(x),134,10.960663313432837,3.9096921347220377,-0.0033393432835820583,0.002727533132087303 -linear,Chlorophyll,Be16FLHblue,0.017424523813847625,y = 0.003868 + 0.000047*x,134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -logarithmic,Chlorophyll,Be16FLHblue,0.015080880084500592,y = 0.003284 + 0.000470*ln(x),134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -exponential,Chlorophyll,Be16FLHblue,-0.002117132819616341,y = 0.004168 * exp(0.001937*x),134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -power,Chlorophyll,Be16FLHblue,-0.0030671526470118504,y = 0.004076 * x^0.018690,134,10.960663313432837,3.9096921347220377,0.0043792089552238435,0.001381737982346916 -linear,Chlorophyll,Be16FLHviolet,0.0023835729307108977,y = 0.003164 + 0.000019*x,134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -logarithmic,Chlorophyll,Be16FLHviolet,0.0018280319730009653,y = 0.002951 + 0.000181*ln(x),134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -power,Chlorophyll,Be16FLHviolet,-0.03359801493155068,y = 0.004239 * x^-0.124759,134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -exponential,Chlorophyll,Be16FLHviolet,-0.03542639293253047,y = 0.003613 * exp(-0.011923*x),134,10.960663313432837,3.9096921347220377,0.0033735522388059305,0.0015317987259504302 -linear,Chlorophyll,Be16MPI,0.062270111791835725,y = 0.001595 + -0.000043*x,134,10.960663313432837,3.9096921347220377,0.0011235895522387698,0.0006740220689584854 -logarithmic,Chlorophyll,Be16MPI,0.053593132296276824,y = 0.002131 + -0.000432*ln(x),134,10.960663313432837,3.9096921347220377,0.0011235895522387698,0.0006740220689584854 -linear,Chlorophyll,Be16NDPhyI,0.16604525086113353,y = -0.242290 + 0.014903*x,134,10.960663313432837,3.9096921347220377,-0.07894663731685109,0.14298591380157585 -logarithmic,Chlorophyll,Be16NDPhyI,0.14825528926546594,y = -0.434387 + 0.152553*ln(x),134,10.960663313432837,3.9096921347220377,-0.07894663731685109,0.14298591380157585 -linear,Chlorophyll,Be16NDPhyI644over615,0.021975250694089343,y = -0.065407 + 0.001863*x,134,10.960663313432837,3.9096921347220377,-0.044985950160293706,0.049137812385328355 -logarithmic,Chlorophyll,Be16NDPhyI644over615,0.018283728847716674,y = -0.087882 + 0.018411*ln(x),134,10.960663313432837,3.9096921347220377,-0.044985950160293706,0.049137812385328355 -linear,Chlorophyll,Be16NDPhyI644over629,0.03970066029484709,y = -0.043506 + 0.003785*x,134,10.960663313432837,3.9096921347220377,-0.002020256813774733,0.07426922456651143 -logarithmic,Chlorophyll,Be16NDPhyI644over629,0.0335412781786012,y = -0.089835 + 0.037690*ln(x),134,10.960663313432837,3.9096921347220377,-0.002020256813774733,0.07426922456651143 -logarithmic,Chlorophyll,Be16NDTIblue,0.0033079929100812144,y = -0.134462 + -0.011840*ln(x),133,10.9134502556391,3.886119767718547,-0.16200172104305108,0.07399047397462093 -linear,Chlorophyll,Be16NDTIblue,0.00317524512241274,y = -0.150293 + -0.001073*x,133,10.9134502556391,3.886119767718547,-0.16200172104305108,0.07399047397462093 -linear,Chlorophyll,Be16NDTIviolet,0.0005010487351857495,y = -0.175143 + 0.000717*x,133,10.9134502556391,3.886119767718547,-0.16732129594785264,0.124429968840917 -logarithmic,Chlorophyll,Be16NDTIviolet,0.0004086312956946836,y = -0.183599 + 0.006998*ln(x),133,10.9134502556391,3.886119767718547,-0.16732129594785264,0.124429968840917 -linear,Chlorophyll,Be16Phy2BDA644over629,0.023206004958571502,y = 0.713769 + 0.030997*x,134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -logarithmic,Chlorophyll,Be16Phy2BDA644over629,0.0187754308216187,y = 0.349750 + 0.302055*ln(x),134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -exponential,Chlorophyll,Be16Phy2BDA644over629,0.008223792315415035,y = 0.900438 * exp(0.009666*x),134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -power,Chlorophyll,Be16Phy2BDA644over629,0.00591210292212041,y = 0.801083 * x^0.095650,134,10.960663313432837,3.9096921347220377,1.053521162810137,0.7955509661543532 -linear,Chlorophyll,De933BDA,0.00023919683733564234,y = -0.009738 + 0.000030*x,134,10.960663313432837,3.9096921347220377,-0.009405067164179083,0.007689652483460126 -logarithmic,Chlorophyll,De933BDA,0.00011330432702505444,y = -0.009934 + 0.000227*ln(x),134,10.960663313432837,3.9096921347220377,-0.009405067164179083,0.007689652483460126 -linear,Chlorophyll,Go04MCI,0.0037028838151977883,y = 0.008870 + -0.000177*x,134,10.960663313432837,3.9096921347220377,0.006929253731343275,0.011379134657238244 -logarithmic,Chlorophyll,Go04MCI,0.0031526249468724066,y = 0.011054 + -0.001770*ln(x),134,10.960663313432837,3.9096921347220377,0.006929253731343275,0.011379134657238244 -linear,Chlorophyll,HU103BDA,0.022814312069399434,y = -52.916771 + 7.153375*x,134,10.960663313432837,3.9096921347220377,25.488964765505937,185.16115053399594 -logarithmic,Chlorophyll,HU103BDA,0.018338828535085838,y = -136.395192 + 69.479719*ln(x),134,10.960663313432837,3.9096921347220377,25.488964765505937,185.16115053399594 -logarithmic,Chlorophyll,Kn07KIVU,0.00032084600727178003,y = -0.000024 + 0.003864*ln(x),134,10.960663313432837,3.9096921347220377,0.008978853062571953,0.07784863735321206 -linear,Chlorophyll,Kn07KIVU,9.160946797537317e-05,y = 0.011068 + -0.000191*x,134,10.960663313432837,3.9096921347220377,0.008978853062571953,0.07784863735321206 -linear,Chlorophyll,Ku15PhyCI,0.007889056025643382,y = -0.000509 + 0.000148*x,134,10.960663313432837,3.9096921347220377,0.0011146865671641457,0.006521171197136047 -logarithmic,Chlorophyll,Ku15PhyCI,0.0062998084059643356,y = -0.002227 + 0.001434*ln(x),134,10.960663313432837,3.9096921347220377,0.0011146865671641457,0.006521171197136047 -linear,Chlorophyll,Ku15SLH,0.015206455027719001,y = -0.009458 + 0.000383*x,134,10.960663313432837,3.9096921347220377,-0.005264970149253696,0.012128158740383666 -logarithmic,Chlorophyll,Ku15SLH,0.01247925513910264,y = -0.014012 + 0.003754*ln(x),134,10.960663313432837,3.9096921347220377,-0.005264970149253696,0.012128158740383666 -linear,Chlorophyll,MI092BDA,0.08763672931756827,y = 0.415458 + 0.031001*x,134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -logarithmic,Chlorophyll,MI092BDA,0.07689535140547887,y = 0.022263 + 0.314595*ln(x),134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -exponential,Chlorophyll,MI092BDA,0.06807967150006189,y = 0.543612 * exp(0.025329*x),134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -power,Chlorophyll,MI092BDA,0.05909773540292862,y = 0.391266 * x^0.260295,134,10.960663313432837,3.9096921347220377,0.7552526677152894,0.40942970094366693 -linear,Chlorophyll,MM092BDA,0.05916056039742046,y = 0.020110 + 0.025980*x,134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -logarithmic,Chlorophyll,MM092BDA,0.05062582327866094,y = -0.301758 + 0.260360*ln(x),134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -exponential,Chlorophyll,MM092BDA,0.031081382027952853,y = 0.169237 * exp(0.039710*x),134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -power,Chlorophyll,MM092BDA,0.025455662241081423,y = 0.100699 * x^0.409629,134,10.960663313432837,3.9096921347220377,0.30486885589695534,0.4176058240320284 -linear,Chlorophyll,MM12NDCI,0.14968049493387692,y = -0.334438 + 0.016524*x,134,10.960663313432837,3.9096921347220377,-0.15332684559895957,0.1669812364274784 -logarithmic,Chlorophyll,MM12NDCI,0.1284752471027638,y = -0.539735 + 0.165844*ln(x),134,10.960663313432837,3.9096921347220377,-0.15332684559895957,0.1669812364274784 -linear,Chlorophyll,MM12NDCIalt,0.1782969390839364,y = -0.067623 + 0.015108*x,134,10.960663313432837,3.9096921347220377,0.09797303208020114,0.1398887140001231 -logarithmic,Chlorophyll,MM12NDCIalt,0.15469579925762256,y = -0.257241 + 0.152456*ln(x),134,10.960663313432837,3.9096921347220377,0.09797303208020114,0.1398887140001231 -linear,Chlorophyll,SI052BDA,0.02394542541720257,y = -2.641394 + 0.392126*x,134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -logarithmic,Chlorophyll,SI052BDA,0.019350113206532904,y = -7.240919 + 3.818747*ln(x),134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -exponential,Chlorophyll,SI052BDA,-0.0034738533070597377,y = 0.468901 * exp(0.044799*x),134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -power,Chlorophyll,SI052BDA,-0.004314196524685121,y = 0.267297 * x^0.451967,134,10.960663313432837,3.9096921347220377,1.6565652837978109,9.907333404366277 -linear,Chlorophyll,SM122BDA,0.06414848722020783,y = 0.199657 + 0.045876*x,134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -logarithmic,Chlorophyll,SM122BDA,0.05481383167054166,y = -0.367922 + 0.459415*ln(x),134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -exponential,Chlorophyll,SM122BDA,0.0384911707850909,y = 0.442182 * exp(0.032597*x),134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -power,Chlorophyll,SM122BDA,0.0316342801109748,y = 0.291960 * x^0.331506,134,10.960663313432837,3.9096921347220377,0.7024913829628076,0.7081702489195397 -logarithmic,Chlorophyll,TurbBow06RedOverGreen,0.0008581470760438137,y = 0.400651 + 0.028309*ln(x),134,10.960663313432837,3.9096921347220377,0.46660909641031345,0.348755127089641 -linear,Chlorophyll,TurbBow06RedOverGreen,0.0008315690342066695,y = 0.438415 + 0.002572*x,134,10.960663313432837,3.9096921347220377,0.46660909641031345,0.348755127089641 -linear,Chlorophyll,TurbChip09NIROverGreen,0.01848858969012912,y = -0.040594 + 0.008604*x,134,10.960663313432837,3.9096921347220377,0.053712679806626945,0.2473987712418453 -logarithmic,Chlorophyll,TurbChip09NIROverGreen,0.016570559702190013,y = -0.151893 + 0.088245*ln(x),134,10.960663313432837,3.9096921347220377,0.053712679806626945,0.2473987712418453 -linear,Chlorophyll,TurbHarr92NIR,0.015865352453769743,y = -0.000772 + 0.000165*x,134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 -logarithmic,Chlorophyll,TurbHarr92NIR,0.01432846575764024,y = -0.002925 + 0.001702*ln(x),134,10.960663313432837,3.9096921347220377,0.001040134328358209,0.005131083278297242 -linear,Chlorophyll,TurbLath91RedOverBlue,0.00025779216509291825,y = 0.723653 + 0.000603*x,133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -logarithmic,Chlorophyll,TurbLath91RedOverBlue,0.00015814654236934178,y = 0.718358 + 0.005104*ln(x),133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -power,Chlorophyll,TurbLath91RedOverBlue,-0.007759099371790423,y = 0.765225 * x^-0.025934,133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -exponential,Chlorophyll,TurbLath91RedOverBlue,-0.007972973578523668,y = 0.739256 * exp(-0.002364*x),133,10.9134502556391,3.886119767718547,0.7302312316955419,0.14589486349017858 -linear,Chlorophyll,TurbMoore80Red,2.3065421406842646e-05,y = 0.009045 + -0.000009*x,134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 -logarithmic,Chlorophyll,TurbMoore80Red,8.478475440609756e-07,y = 0.008902 + 0.000019*ln(x),134,10.960663313432837,3.9096921347220377,0.008946089552238806,0.007372050533373144 -linear,Chlorophyll,Wy08CI,0.004922647127989954,y = -0.003917 + 0.000117*x,134,10.960663313432837,3.9096921347220377,-0.0026294477611939994,0.006547381229445023 -logarithmic,Chlorophyll,Wy08CI,0.0037258564416292606,y = -0.005210 + 0.001107*ln(x),134,10.960663313432837,3.9096921347220377,-0.0026294477611939994,0.006547381229445023 -linear,Chlorophyll,Zh10FLH,0.0034208029090143643,y = -0.003691 + 0.000107*x,134,10.960663313432837,3.9096921347220377,-0.0025192910447760807,0.007148572087690299 -logarithmic,Chlorophyll,Zh10FLH,0.0029682401109050183,y = -0.005034 + 0.001079*ln(x),134,10.960663313432837,3.9096921347220377,-0.0025192910447760807,0.007148572087690299 diff --git a/src/postprocessing/point_maps/result3_processed_data_sampling_map.png b/src/postprocessing/point_maps/result3_processed_data_sampling_map.png deleted file mode 100644 index f59d401..0000000 Binary files a/src/postprocessing/point_maps/result3_processed_data_sampling_map.png and /dev/null differ diff --git a/src/postprocessing/report_word.py b/src/postprocessing/report_word.py index 8c8b628..f36eb8c 100644 --- a/src/postprocessing/report_word.py +++ b/src/postprocessing/report_word.py @@ -215,25 +215,25 @@ class WaterQualityReportGenerator: "TDS_distribution.png" ], "Cl-": [ - "Cl_histogram.png", - "Cl_spectrum_comparison.png", - "Cl_scatter_with_confidence.png", - "Cl_boxplot.png", - "Cl_distribution.png" + "Cl-histogram.png", + "Cl-spectrum_comparison.png", + "Cl-scatter_with_confidence.png", + "Cl-boxplot.png", + "Cl-distribution.png" ], "NO3-N": [ - "NO3_N_histogram.png", - "NO3_N_spectrum_comparison.png", - "NO3_N_scatter_with_confidence.png", - "NO3_N_boxplot.png", - "NO3_N_distribution.png" + "NO3-N_histogram.png", + "NO3-N_spectrum_comparison.png", + "NO3-N_scatter_with_confidence.png", + "NO3-N_boxplot.png", + "NO3-N_distribution.png" ], "NH3-N": [ - "NH3_N_histogram.png", - "NH3_N_spectrum_comparison.png", - "NH3_N_scatter_with_confidence.png", - "NH3_N_boxplot.png", - "NH3_N_distribution.png" + "NH3-N_histogram.png", + "NH3-N_spectrum_comparison.png", + "NH3-N_scatter_with_confidence.png", + "NH3-N_boxplot.png", + "NH3-N_distribution.png" ], "BGA": [ "BGA_histogram.png", diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260330_164433.docx b/src/postprocessing/reports/水质参数反演分析报告_20260330_164433.docx deleted file mode 100644 index 7c90f49..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260330_164433.docx and /dev/null differ diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260330_164511.docx b/src/postprocessing/reports/水质参数反演分析报告_20260330_164511.docx deleted file mode 100644 index 069ef0d..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260330_164511.docx and /dev/null differ diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260330_165245.docx b/src/postprocessing/reports/水质参数反演分析报告_20260330_165245.docx deleted file mode 100644 index a32a14b..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260330_165245.docx and /dev/null differ diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260330_165536.docx b/src/postprocessing/reports/水质参数反演分析报告_20260330_165536.docx deleted file mode 100644 index 069d742..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260330_165536.docx and /dev/null differ diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260331_154250.docx b/src/postprocessing/reports/水质参数反演分析报告_20260331_154250.docx deleted file mode 100644 index e848bd9..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260331_154250.docx and /dev/null differ diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260331_155128.docx b/src/postprocessing/reports/水质参数反演分析报告_20260331_155128.docx deleted file mode 100644 index 18cef0c..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260331_155128.docx and /dev/null differ diff --git a/src/postprocessing/reports/水质参数反演分析报告_20260331_155142.docx b/src/postprocessing/reports/水质参数反演分析报告_20260331_155142.docx deleted file mode 100644 index 1b4f1ea..0000000 Binary files a/src/postprocessing/reports/水质参数反演分析报告_20260331_155142.docx and /dev/null differ diff --git a/降采样光谱.py b/降采样光谱.py new file mode 100644 index 0000000..26b8f6f --- /dev/null +++ b/降采样光谱.py @@ -0,0 +1,121 @@ +import numpy as np +import spectral +import spectral.io.envi as envi + +def downsample_bands_extract(data, factor=3, offset=0): + """抽取降采样：每 factor 个波段取第 (offset+1) 个波段""" + rows, cols, bands = data.shape + new_bands = bands // factor + indices = [offset + i * factor for i in range(new_bands)] + # 边界保护 + indices = [idx for idx in indices if idx < bands] + return data[:, :, indices].astype(np.float32) + +def process_bsq_chunked(input_path, output_path, scale=10000, factor=3, offset=0, chunk_lines=500): + """ + 分块处理，抽取降采样，正确写入 BSQ 格式 + BSQ 格式：每个波段的所有行数据连续存储 + """ + img = spectral.open_image(input_path) + hdr = img.metadata.copy() + n_rows, n_cols, n_bands = img.nrows, img.ncols, img.nbands + new_bands = n_bands // factor # 抽取后的波段数 + + new_hdr = hdr.copy() + new_hdr['samples'] = n_cols + new_hdr['lines'] = n_rows + new_hdr['bands'] = new_bands + new_hdr['data type'] = 12 + new_hdr['interleave'] = 'bsq' + + # 波长抽取（优先使用原始 header 中的波长） + if 'wavelength' in hdr: + waves = np.array(hdr['wavelength']) + if len(waves) >= new_bands * factor: + extracted_waves = waves[offset::factor][:new_bands] + new_hdr['wavelength'] = extracted_waves.tolist() + else: + print("警告: 原始波长数量不足，跳过") + + # FWHM 处理 + if 'fwhm' in hdr: + fwhm = np.array(hdr['fwhm']) + if len(fwhm) >= new_bands * factor: + new_hdr['fwhm'] = fwhm[offset::factor][:new_bands].tolist() + + out_file = output_path + '.bsq' + + # 关键修改：BSQ 格式要求每个波段的所有行连续存储 + # 先处理所有数据到内存缓冲区（按波段组织），再写入文件 + # 对于大文件，我们按波段分批处理 + + print(f"开始处理 {n_rows} 行 x {n_cols} 列 x {new_bands} 波段...") + + # 为每个波段创建一个临时文件（避免内存溢出） + import tempfile + import os + + temp_files = [] + temp_band_data = [] + + try: + # 初始化每个波段的临时文件 + for b in range(new_bands): + fd, temp_path = tempfile.mkstemp(suffix=f'_band_{b}.tmp') + os.close(fd) + temp_files.append(temp_path) + temp_band_data.append(open(temp_path, 'wb')) + + # 第一遍：分块读取，按波段写入临时文件 + for start_row in range(0, n_rows, chunk_lines): + end_row = min(start_row + chunk_lines, n_rows) + print(f"处理行 {start_row}-{end_row-1}...") + + chunk = img.read_subregion((start_row, end_row), (0, n_cols)) + chunk_down = downsample_bands_extract(chunk, factor, offset) + chunk_scaled = chunk_down * scale + chunk_uint16 = np.clip(chunk_scaled, 0, 65535).astype(np.uint16) + + # 将每个波段的数据写入对应的临时文件 + for b in range(new_bands): + band_data = chunk_uint16[:, :, b].tobytes() + temp_band_data[b].write(band_data) + + del chunk, chunk_down, chunk_scaled, chunk_uint16 + + # 关闭所有临时文件 + for f in temp_band_data: + f.close() + + # 第二遍：按 BSQ 格式合并（波段0全部数据 → 波段1全部数据 → ...） + print("合并为 BSQ 格式...") + with open(out_file, 'wb') as fout: + for b in range(new_bands): + with open(temp_files[b], 'rb') as fband: + # 读取该波段的全部行数据并写入最终文件 + while True: + data = fband.read(1024 * 1024) # 1MB 块读取 + if not data: + break + fout.write(data) + print(f" 波段 {b+1}/{new_bands} 写入完成") + + print(f"BSQ 文件写入完成: {out_file}") + + finally: + # 清理临时文件 + for temp_path in temp_files: + try: + os.remove(temp_path) + except: + pass + + # 写入头文件 + envi.write_envi_header(output_path + '.hdr', new_hdr) + print(f"完成！输出: {out_file}") + print(f" 尺寸: {n_rows} 行 x {n_cols} 列 x {new_bands} 波段") + +if __name__ == '__main__': + input_base = r"D:\BaiduNetdiskDownload\yaobao\caijain.hdr" + output_base = r"D:\BaiduNetdiskDownload\yaobao\test" + process_bsq_chunked(input_base, output_base, scale=10000, factor=3, offset=0, chunk_lines=2000)