Area and shape distortions in open-source discrete global grid systems
A Discrete Global Grid System (DGGS) is a type of spatial reference system that tessellates the globe into many individual, evenly spaced, and well-aligned cells to encode location and, thus, can serve as a basis for data cube construction. This facilitates integration and aggregation of multi-resol...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-07-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2022.2094926 |
| _version_ | 1818162165557755904 |
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| author | Alexander Kmoch Ivan Vasilyev Holger Virro Evelyn Uuemaa |
| author_facet | Alexander Kmoch Ivan Vasilyev Holger Virro Evelyn Uuemaa |
| author_sort | Alexander Kmoch |
| collection | DOAJ |
| description | A Discrete Global Grid System (DGGS) is a type of spatial reference system that tessellates the globe into many individual, evenly spaced, and well-aligned cells to encode location and, thus, can serve as a basis for data cube construction. This facilitates integration and aggregation of multi-resolution data from various sources to rapidly calculate spatial statistics. We calculated normalized area and compactness for cell geometries from 5 open-source DGGS implementations - Uber H3, Google S2, RiskAware OpenEAGGR, rHEALPix by Landcare Research New Zealand, and DGGRID by Southern Oregon University - to evaluate their suitability for a global-level statistical data cube. We conclude that the rHEALPix and OpenEAGGR and DGGRID ISEA-based DGGS definitions are most suitable for global statistics because they have the strongest guarantee of equal area preservation - where each cell covers almost exactly the same area on the globe. Uber H3 has the smallest shape distortions, but Uber H3 and Google S2 have the largest variations in cell area. However, they provide more mature software library functionalities. DGGRID provides excellent functionality to construct grids with desired geometric properties but as the only implementation does not provide functions for traversal and navigation within a grid after its construction. |
| first_indexed | 2024-12-11T16:29:20Z |
| format | Article |
| id | doaj.art-e38e871e44a446f89ceca5354b8d7878 |
| institution | Directory Open Access Journal |
| issn | 2096-4471 2574-5417 |
| language | English |
| last_indexed | 2024-12-11T16:29:20Z |
| publishDate | 2022-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Big Earth Data |
| spelling | doaj.art-e38e871e44a446f89ceca5354b8d78782022-12-22T00:58:38ZengTaylor & Francis GroupBig Earth Data2096-44712574-54172022-07-0112010.1080/20964471.2022.2094926Area and shape distortions in open-source discrete global grid systemsAlexander Kmoch0Ivan Vasilyev1Holger Virro2Evelyn Uuemaa3Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, EstoniaDepartment of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, EstoniaDepartment of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, EstoniaDepartment of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, EstoniaA Discrete Global Grid System (DGGS) is a type of spatial reference system that tessellates the globe into many individual, evenly spaced, and well-aligned cells to encode location and, thus, can serve as a basis for data cube construction. This facilitates integration and aggregation of multi-resolution data from various sources to rapidly calculate spatial statistics. We calculated normalized area and compactness for cell geometries from 5 open-source DGGS implementations - Uber H3, Google S2, RiskAware OpenEAGGR, rHEALPix by Landcare Research New Zealand, and DGGRID by Southern Oregon University - to evaluate their suitability for a global-level statistical data cube. We conclude that the rHEALPix and OpenEAGGR and DGGRID ISEA-based DGGS definitions are most suitable for global statistics because they have the strongest guarantee of equal area preservation - where each cell covers almost exactly the same area on the globe. Uber H3 has the smallest shape distortions, but Uber H3 and Google S2 have the largest variations in cell area. However, they provide more mature software library functionalities. DGGRID provides excellent functionality to construct grids with desired geometric properties but as the only implementation does not provide functions for traversal and navigation within a grid after its construction.https://www.tandfonline.com/doi/10.1080/20964471.2022.2094926Coordinate reference systemsspatial indexingbig spatial data analyticsdata cubeDGGS |
| spellingShingle | Alexander Kmoch Ivan Vasilyev Holger Virro Evelyn Uuemaa Area and shape distortions in open-source discrete global grid systems Big Earth Data Coordinate reference systems spatial indexing big spatial data analytics data cube DGGS |
| title | Area and shape distortions in open-source discrete global grid systems |
| title_full | Area and shape distortions in open-source discrete global grid systems |
| title_fullStr | Area and shape distortions in open-source discrete global grid systems |
| title_full_unstemmed | Area and shape distortions in open-source discrete global grid systems |
| title_short | Area and shape distortions in open-source discrete global grid systems |
| title_sort | area and shape distortions in open source discrete global grid systems |
| topic | Coordinate reference systems spatial indexing big spatial data analytics data cube DGGS |
| url | https://www.tandfonline.com/doi/10.1080/20964471.2022.2094926 |
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