Add rescale and standardize normalization utilities#1028
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New module xrspatial/normalize.py with two functions: - rescale: min-max normalization to a target range - standardize: z-score normalization (mean 0, std 1) Both support all four backends via ArrayTypeFunctionMapping.
29 tests covering NumPy, Dask, and CuPy backends. Tests include known-value checks, NaN/inf passthrough, constant rasters, single cells, coordinate preservation, and cross-backend agreement.
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Closes #1027.
Summary
rescale()does min-max normalization to a target range (default [0, 1]);standardize()does z-score normalization (subtract mean, divide by std)xrspatial/normalize.py, all four backends (NumPy, CuPy, Dask+NumPy, Dask+CuPy) viaArrayTypeFunctionMapping__init__.pyand.xrsaccessor for DataArray and Datasetutilities.rst, user guide notebook33_Normalization.ipynb, README feature matrix updatedTest plan
pytest xrspatial/tests/test_normalize.py-- 29/29 passing