Add interpolation tools: IDW, Kriging, and Spline#934
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brendancol merged 1 commit intomasterfrom Mar 3, 2026
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Three new functions for converting scattered point observations (x, y, z arrays) into gridded xarray DataArrays on a user-specified template grid. - IDW: all-points numba JIT kernel and k-nearest via scipy cKDTree, with CUDA kernel for GPU; all 4 backends - Kriging: ordinary kriging with automatic variogram fitting (spherical, exponential, gaussian models); numpy and dask backends - Spline: thin plate spline with CPU system solve and parallelised grid evaluation; all 4 backends Also adds .xrs accessor methods and 25 tests covering correctness, cross-backend consistency, validation, and edge cases.
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Summary
Adds three interpolation methods for converting scattered point observations into gridded rasters. Closes #932.
NotImplementedError.Also adds
.xrsaccessor methods (idw,kriging,spline), updates the README, and includes 25 tests.Test plan