MPP encoding, a distance-to-reference-points vectorization of arbitrary geospatial shapes, outperforms a raster indicator baseline at predicting shape properties and pairwise spatial relationships.
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Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning
MPP encoding, a distance-to-reference-points vectorization of arbitrary geospatial shapes, outperforms a raster indicator baseline at predicting shape properties and pairwise spatial relationships.