Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments.
Ontology highlight
ABSTRACT: Data portals and services have increased coastal water quality data availability and accessibility. However, tools to process this data are limited - geospatial frameworks at the land-sea interface are either adapted from open- water frameworks or extended from watershed frameworks. This study explores use of a geospatial framework based on hexagons from a Discrete Global Grid System (DGGS) in a coastal area. Two DGGS implementations are explored, dggridR and H3. The geospatial frameworks are compared based on their ability to aggregate data to scales from existing frameworks, integrate data across frameworks, and connect flows across the land-sea interface. dggridR was simpler with more flexibility to match scales and use smaller units. H3 was more performant, identifying neighbors and mo
SUBMITTER: Bousquin J
PROVIDER: S-EPMC8958999 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA