Advancing Geospatial Data Analysis with XDGGS

The Pangeo community is developing xdggs. This poster was presented during the 3rd Destination Earth User eXchange in Darmstadt (15 October 2024): XDGGS is an Xarray extension developed through a sprint at the ESA BiDS’23 conference, led by the Pangeo community in collaboration with OSGeo and the OGC. The OGC DGGS SWG works on standardizing concepts and definitions around DGGS. The cooperation ensures reference systems and grids are usable across libraries and APIs. XDGGS provides a unified, high-level API that simplifies the use of DGGS types like HEALPIX, H3, or DGGRID ISEA7H, using DGGS-specific cell identifiers as an index within Xarray. By integrating DGGS with Xarray, XDGGS enables efficient geospatial workflows, reducing complexity and enhancing Xarray's data processing capabilities. This extension promotes FAIR data practices, improving data access and interoperability for large-scale geospatial applications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-15
DOI
https://doi.org/10.5281/zenodo.13934967
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
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article

Advancing Geospatial Data Analysis with XDGGS

Zenodo (CERN European Organization for Nuclear Research)
Geographic Information Systems Studies
article

Advancing Geospatial Data Analysis with XDGGS

article en

Abstract

The Pangeo community is developing xdggs. This poster was presented during the 3rd Destination Earth User eXchange in Darmstadt (15 October 2024): XDGGS is an Xarray extension developed through a sprint at the ESA BiDS’23 conference, led by the Pangeo community in collaboration with OSGeo and the OGC. The OGC DGGS SWG works on standardizing concepts and definitions around DGGS. The cooperation ensures reference systems and grids are usable across libraries and APIs. XDGGS provides a unified, high-level API that simplifies the use of DGGS types like HEALPIX, H3, or DGGRID ISEA7H, using DGGS-specific cell identifiers as an index within Xarray. By integrating DGGS with Xarray, XDGGS enables efficient geospatial workflows, reducing complexity and enhancing Xarray's data processing capabilities. This extension promotes FAIR data practices, improving data access and interoperability for large-scale geospatial applications.

Zenodo (CERN European Organization for Nuclear Research)
Ifremer (FR), Simula Research Laboratory (NO), European Commission (BE), The Alan Turing Institute (GB), University of Tartu (EE), Columbia University (US)
Partnerships for the goals
Openalex Percentile: Top 35%
Geographic Information Systems Studies
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