. . . . "2026-03-07"^^ . . "DGGS Benchmark Outcome: Claim Partially Supported" . "The claim \"Effect of DGGS Indexing on Associating Vector and Raster \r\nGeospatial Data\" is PARTIALLY SUPPORTED.\r\n\r\nVECTOR BENCHMARK (Figure 6): VALIDATED\r\nDGGS provides orders of magnitude performance improvement over traditional \r\nvector overlay operations. At 20 layers, DGGS was 16,000x faster than \r\nvector methods.\r\n\r\nRASTER BENCHMARK (Figure 7): PARTIALLY SUPPORTED\r\nThe paper's claim of \"roughly equivalent performance\" holds when comparing \r\nclassification time with pre-indexed DGGS data. However, on-the-fly H3 \r\nindexing adds significant overhead. The replication using xdggs shows \r\nvectorized indexing reduces this overhead by ~100x." . . "
\r\nVECTOR BENCHMARK RESULTS:\r\n\r\n
\r\n| Layers | DGGS     | Vector   | Speedup  |\r\n|--------|----------|----------|----------|\r\n| 5      | 0.01s    | 0.4s     | 40x      |\r\n| 10     | 0.015s   | 10s      | 670x     |\r\n| 20     | 0.03s    | 400s     | 16,000x  |\r\n
\r\n\r\nDGGS shows near-linear scaling; vector shows super-linear growth.\r\nThis validates the paper's Figure 6.\r\n\r\nRASTER BENCHMARK RESULTS (100 layers):\r\n\r\n
\r\n| Method              | Time    |\r\n|---------------------|---------|\r\n| Raster (NumPy)      | 0.02s   |\r\n| DGGS Pre-indexed    | 0.01s   | ← Paper's scenario: VALIDATED\r\n| DGGS + H3 loop      | 5.0s    | ← Includes slow indexing\r\n| DGGS + xdggs        | 0.05s   | ← Replication: 100x faster indexing\r\n
\r\n\r\nThe pre-indexed scenario matches the paper's methodology and validates \r\nthe claim of equivalent performance.\r\n
" . "
\r\n
\r\n- Vector benchmark tested up to 100 layers (paper used 500)\r\n- Raster pre-indexed scenario simulates but doesn't exactly replicate \r\n  Apache Parquet + Polars implementation\r\n- Missing random misalignment (\"jittering\") from original methodology\r\n- Single hardware configuration tested\r\n
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" . . . . . "Tobias Kuhn" . "Anne Fouilloux" . "2026-03-30T07:02:18.572Z"^^ . . . . . . . . . . . . . "RSA" . "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQD4Wj537OijfOWVtsHMznuXKISqBhtGDQZfdO6pbb4hg9EHMcUFGTLbWaPrP783PHv8HMAAPjvEkHLaOHMIknqhaIa5236lfBO3r+ljVdYBElBcLvROmwG+ZGtmPNZf7lMhI15xf5TfoaSa84AFRd5J2EXekK6PhaFQhRm1IpSYtwIDAQAB" . "xCeYIu0YDLULNkkg3fcXv5iyGF9XPIi0NBGEjdsvU+CJekNtK8Q2RmoH8Stq+MB2VFJl45QBCw6+han0VpnjTOSNfBXJ2eFIN5+VrbiUyqjKWxvgXrXdRHDouKl/UaqsY60lnyGaTi+S+ySzaEATJ8aD4DpQMN0+nHDRXh99tPk=" . . . "Reproduction and Replication of DGGS Benchmark" .