xrspatial.mcda.combine.wpm#

xrspatial.mcda.combine.wpm(criteria: Dataset, weights: dict[str, float], name: str = 'wpm') → DataArray[source]#

Weighted Product Model.

Multiplicative combination: per-pixel product(x_i ^ w_i). More sensitive to low scores than WLC.

Parameters:

criteria (xr.Dataset) – Standardized criterion layers. Values must be strictly positive (> 0); zero or negative inputs raise ValueError because x ** w is undefined or collapses to zero for non-integer weights. NaN values propagate through to the output.
weights (dict) – {criterion_name: weight}, must sum to ~1.0.
name (str) – Name of the output DataArray.

Returns:

Composite suitability surface.

Return type:

xr.DataArray