xrspatial.mcda.combine.owa

xrspatial.mcda.combine.owa(criteria: Dataset, weights: dict[str, float] | None = None, order_weights: list[float] | None = None, name: str = 'owa', *, criterion_weights: dict[str, float] | None = None) → DataArray

Ordered Weighted Averaging.

Generalizes WLC by adding position-based order weights that control risk attitude. Order weights are applied to criterion values sorted by magnitude at each pixel, not by criterion identity.

Parameters:

• criteria (xr.Dataset) – Standardized criterion layers (0-1).

• weights (dict) – Criterion weights as {criterion_name: weight}, must sum to ~1.0. Same convention as wlc() and wpm(). Required; the None default exists only to support the deprecated criterion_weights alias.

• order_weights (list of float) – Weights applied by rank position (index 0 = highest value). Must have the same length as the number of criteria and sum to ~1.0.

• name (str) – Name of the output DataArray.

• criterion_weights (dict, optional) – Deprecated alias for weights. Emits DeprecationWarning.

Returns:

Composite suitability surface.

Return type:

xr.DataArray