sub:assertion {
  sub:comparatorGroup dcterms:description "Traditional vector-based workflows (spatial union operations in PostGIS/GeoPandas) and raster-based workflows (zonal statistics with exact_extract)" .
  sub:dggs-based-land-use-classification-performance-evaluation pico:comparatorGroup sub:comparatorGroup ;
    pico:interventionGroup sub:interventionGroup ;
    pico:outcomeGroup sub:outcomeGroup ;
    pico:population sub: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?" ;
    a pico:PICO , sciencelive:EffectivenessResearchQuestions ;
    rdfs:label "DGGS-based Land-Use Classification Performance Evaluation" .
  sub: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)" .
  sub: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)" .
  sub:population dcterms:description "Geospatial data processing workflows for land-use classification involving multiple heterogeneous data layers (vector and raster sources)" .
}