https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/Head https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/assertion https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/provenance https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/pubinfo https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/assertion https://doi.org/10.1080/20964471.2024.2429847 http://purl.org/spar/cito/hasQuotedText The discretisation of space ultimately allows for predictable and faster computes on congruent, aligned data https://doi.org/10.1080/20964471.2024.2429847 http://www.w3.org/2000/01/rdf-schema#comment This is the core principle explaining why DGGS improves computational performance. By representing space as discrete zones rather than continuous coordinates, spatial operations become simple ID comparisons rather than complex geometric intersections. This fundamental insight underpins all the performance benefits demonstrated in the paper's benchmarks. https://orcid.org/0000-0002-7400-2530 http://purl.org/spar/cito/quotes https://doi.org/10.1080/20964471.2024.2429847 https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/provenance https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-7400-2530 https://w3id.org/np/RAzbO7Sii83d-eI_yYMA0L6nFsRNj5tbnPjaljqEwEe6Q/pubinfo https://orcid.org/0000-0002-7400-2530 http://xmlns.com/foaf/0.1/name Richard M. 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