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<https://doi.org/10.1080/20964471.2024.2429847> cito:hasQuotedText "Classification of DGGS data is one order of magnitude faster than the raster method due to benefits accruing primarily to using a columnar data store (Apache Parquet) classified with a multi-threaded OLAP query engine (Polars)";
rdfs:comment "Key finding from the raster benchmarking experiment. While conceptually similar, the DGGS approach combined with modern data engineering tools (Parquet, Polars) provides measurable performance improvements even compared to optimized raster workflows. This suggests DGGS adoption can be justified on efficiency grounds alone." .
orcid:0000-0002-7400-2530 cito:quotes <https://doi.org/10.1080/20964471.2024.2429847> .
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