# Required columns and their maximum valid ranges
required_cols:
  latitude: [-90, 90]
  longitude: [-180, 180]
  height_ato: [0, 60] # meters above takeoff
  windspeed: [0, 50] # m/s
  winddir: [0, 360] # degrees
  temperature: [-50, 60] # degrees Celsius
  pressure: [800, 1100] # hPa/mb

# Optional gas columns and their maximum ppm concentration ranges.
# Relative concentrations are used, so absolute offset can be incorrect as long as gain and linearity are correct.
gases:
  CO2: [400, 450]


strategies:
  background: "algorithm"    # Currently only algorithmic baseline correction (via pybaselines) is supported
  sensor: "insitu"          # Currently only in-situ sensor data is supported
  spatial: "spiral"         # Spatial processing mode: "curtain" and "spiral" are supported
  interpolation: "kriging"  # Currently only kriging interpolation is supported

# Baseline correction algorithm settings 
algorithmic_baseline_settings:
  algorithm: fastchrom
  fastchrom: {
    "half_window": 6, 
    "threshold": "custom", #
    "min_fwhm": ~,
    "interp_half_window": 3, 
    "smooth_half_window": 3, 
    "weights": ~, 
    "max_iter": 100, 
    "min_length": 2}
  fabc : {
    "lam": 10000,  # The smoothing parameter. Larger values will create smoother baselines. Default is 1e6.
    "scale": 10,  # The scale at which to calculate the continuous wavelet transform. Should be approximately equal to the index-based full-width-at-half-maximum of the peaks or features in the data.  Default is None, which will use half of the value from optimize_window(), which is not always a good value, but at least scales with the number of data points and gives a starting point for tuning the parameter.
    "diff_order": 2}  # The order of the differential matrix. Must be greater than 0. Default is 2 (second order differential matrix). Typical values are 2 or 1.
  dietrich : {
    "poly_order": 5,
    "smooth_half_window": 5,}
  golotvin : {
    "half_window": 2, 
    "sections": 10}

# Kriging settings - aggressively optimized for Spiral mode
semivariogram_settings:
  model: exponential       # Changed to exponential model for better circular data fitting
  estimator: cressie        # Robust estimator for variogram calculation
  n_lags: 50               # Further increased to 50 for better variogram resolution
  bin_func: even           # Even binning function
  fit_method: lm           # Least squares fitting method
  ### Aggressively increased search ranges for circular/spiral data distribution
  maxlag: 5000             # Dramatically increased to 5000m for comprehensive coverage
  tolerance: 180           # Increased to 180° to allow full circular search
  azimuth: 0               # Horizontal direction maintained
  bandwidth: 300           # Further increased to 300m for maximum search bandwidth
   # fit_sigma: linear # this should allow for a spatial uncertainty but currently producing bugs
ordinary_kriging_settings:
  min_points: 1            # Reduced to 1 to allow interpolation even with sparse data
  max_points: 20           # Further reduced to 20 to minimize computational load
  grid_resolution: 100     # Increased density to 100 for finer interpolation grid
  min_nodes: 20            # Increased to 20 to ensure sufficient grid nodes
  y_min: ~                 # Automatically determine minimum y value
  cut_ground: False        # Keep ground cutting disabled