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Vector benchmark: Voronoi polygons, dissolve by value, polyfill to HEALPix cells, join on cell ID, 7-bit classification. Raster benchmark: Gaussian-smoothed layers, pre-indexed pixel-to-cell mapping, aggregate and classify. Ellipsoid analysis: compares sphere vs WGS84 cell assignments across equatorial (0°), Mediterranean (+48°), Scandinavian (+62°), and Arctic (+78°) regions. Environment: Python 3.11, healpix-geo 0.1.1, Docker containerized, seeded RNG (seed=42). https://w3id.org/sciencelive/np/RAQv81flnEBHM1kunkUavJgGtU3zWB-ZhTW7F5CfYE5OA/healpix-replication https://w3id.org/sciencelive/o/terms/hasScopeDescription Replicates both vector and raster benchmarks from Law & Ardo (2024) using HEALPix indexing via the healpix-geo library (Rust-based) instead of H3. 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