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Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments
Citation:
Bousquin, J. Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 146:105210, (2021). https://doi.org/10.1016/j.envsoft.2021.105210
Impact/Purpose:
Data portals and services have increased coastal water quality data availability and accessibility. This study explores use of a geospatial framework based on hexagons from a Discrete Global Grid System (DGGS) in a coastal area to access, aggregate, integrate and otherwise analyze water quality data.
Description:
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 moving between scales more efficiently. Point, line and grid data were aggregated to H3 units to test the implementation's ability to model and visualize coastal data. H3 performed these additional tasks well.
URLs/Downloads:
DOI: Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments