@prefix dcterms: .
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sub1:Head {
this: a np:Nanopublication;
np:hasAssertion sub1:assertion;
np:hasProvenance sub1:provenance;
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sub1:assertion {
sub1:comparatorGroup dcterms:description "Traditional vector-based workflows (spatial union operations in PostGIS/GeoPandas) and raster-based workflows (zonal statistics with exact_extract)" .
sub1:dggs-based-land-use-classification-performance-evaluation a pico:PICO, sciencelive:EffectivenessResearchQuestions;
pico:comparatorGroup sub1:comparatorGroup;
pico:interventionGroup sub1:interventionGroup;
pico:outcomeGroup sub1:outcomeGroup;
pico:population sub1:population;
dcterms:description "How do DGGS-based workflows using column-oriented data stores compare to traditional vector and raster methods for multi-layer land-use classification in terms of computational performance, scalability, and data interoperability?";
rdfs:label "DGGS-based Land-Use Classification Performance Evaluation" .
sub1:interventionGroup dcterms:description "Discrete Global Grid Systems (DGGS) using the H3 hexagonal grid with column-oriented data stores (Apache Parquet) and analytical query engines (Polars)" .
sub1:outcomeGroup dcterms:description "Computational performance (processing time, scalability with increasing data layers), data interoperability (vector-raster integration), reproducibility, and avoidance of geometric artifacts (sliver polygons)" .
sub1:population dcterms:description "Geospatial data processing workflows for land-use classification involving multiple heterogeneous data layers (vector and raster sources)" .
}
sub1:provenance {
sub1:assertion prov:wasAttributedTo orcid:0000-0002-7400-2530 .
}
sub1:pubinfo {
orcid:0000-0002-7400-2530 foaf:name "Richard M. Law" .
this: dcterms:created "2026-01-30T10:27:08+00:00"^^xsd:dateTime;
dcterms:creator orcid:0000-0002-7400-2530;
dcterms:license ;
npx:introduces sub1:dggs-based-land-use-classification-performance-evaluation;
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rdfs:label "PICO Research Question: DGGS-based Land-Use Classification Performance Evaluation";
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