xrspatial.mahalanobis.mahalanobis#

xrspatial.mahalanobis.mahalanobis(bands: List[DataArray], mean: ndarray | None = None, inv_cov: ndarray | None = None, name: str = 'mahalanobis') → DataArray[source]#

Compute per-pixel Mahalanobis distance from a multi-band reference.

Parameters:

  • bands (list of xr.DataArray) – N 2-D rasters (same shape, dtype family, and chunk structure). Must contain at least 2 bands.

  • mean (numpy array, shape (N,), optional) – Mean vector of the reference distribution. Must be provided together with inv_cov, or both omitted (auto-computed).

  • inv_cov (numpy array, shape (N, N), optional) – Inverse covariance matrix. Must be provided together with mean, or both omitted (auto-computed).

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

Returns:

2-D float64 raster with same coords/dims/attrs as bands[0].

Return type:

xr.DataArray