Nanopublication

ID

https://w3id.org/np/RAyoJAmjgvQhrrM9kJtLlGmYLAOUN6IjRl_sZeDhEJsR4
Formats

Content

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sub1:Head {
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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)" .
}

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  sub1:assertion prov:wasAttributedTo orcid:0000-0002-7400-2530 .
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sub1:pubinfo {
  orcid:0000-0002-7400-2530 foaf:name "Richard M. Law" .
  
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