@prefix this: <https://w3id.org/sciencelive/np/RAQXNGyT0FoC3ok_CJQcKpOIwnCbL1pZqDn-cYmtMrHKw> .
@prefix sub: <https://w3id.org/sciencelive/np/RAQXNGyT0FoC3ok_CJQcKpOIwnCbL1pZqDn-cYmtMrHKw/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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sub:assertion {
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/comparatorGroup>
    dc:description "HEALPix Discrete Global Grid System defined on the unit sphere (Górski et al. 2005), as implemented in the canonical healpy library, applied to WGS84-referenced data without ellipsoidal correction. " .
  
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/interventionGroup>
    dc:description "HEALPix Discrete Global Grid System defined directly on the WGS84 ellipsoid, with cell boundaries, neighbour relations, and coordinate transformations computed under ellipsoidal geometry (as implemented in the healpix-geo Python package)." .
  
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/outcomeGroup> dc:description
      "Cell-area uniformity across the grid; correctness of nearest-neighbour adjacency relations on Earth's actual surface; round-trip accuracy of pixel-to-geographic-coordinate mapping for WGS84-referenced data; preservation of hierarchical  refinement (nside doubling) under ellipsoidal geometry." .
  
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/population> dc:description
      "Geospatial data referenced to the WGS84 ellipsoid: Earth-observation imagery, oceanographic and atmospheric fields, biodiversity occurrence records, and any data product whose coordinates are given as geographic latitude/longitude on the WGS84 datum.  " .
  
  sub:healpix-ellipsoid-vs-sphere a <http://data.cochrane.org/ontologies/pico/PICO>,
      <https://w3id.org/sciencelive/o/terms/EffectivenessResearchQuestions>;
    <http://data.cochrane.org/ontologies/pico/comparatorGroup> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/comparatorGroup>;
    <http://data.cochrane.org/ontologies/pico/interventionGroup> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/interventionGroup>;
    <http://data.cochrane.org/ontologies/pico/outcomeGroup> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/outcomeGroup>;
    <http://data.cochrane.org/ontologies/pico/population> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/population>;
    dc:description "For geospatial data referenced to the WGS84 ellipsoid, does Hierarchical Equal Area isoLatitude Pixelization (HEALPix) defined directly on the WGS84 ellipsoid yield more accurate cell-area uniformity, neighbour adjacency, and pixel-to-geographic-coordinate mapping than HEALPix defined on the unit sphere (the original Górski et al. 2005 formulation), when applied to Earth-observation, oceanographic, atmospheric, and biodiversity data products?  ";
    <http://www.w3.org/2000/01/rdf-schema#label> "HEALPix on the WGS84 ellipsoid versus HEALPix on the unit sphere for geoscience data" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://orcid.org/0000-0002-1784-2920> .
}

sub:pubinfo {
  <https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" .
  
  this: dc:created "2026-05-02T09:57:11.763Z"^^xsd:dateTime;
    dc:creator <https://orcid.org/0000-0002-1784-2920>;
    dc:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:introduces sub:healpix-ellipsoid-vs-sphere;
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