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Geo Engine: Workflow-driven Geospatial Portals for Data Science

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Abstract

Geo data portals play a key role in the distribution and exploitation of domain-specific geo data. While such portals are highly specialized, they share a number of common requirements that span from data access and processing to UI components. Geo Engine is able to provide all the necessary parts for portal building. We demonstrate this on a real data portal we built for the dragonfly community and on a Data Science application. In addition, we show its general architecture and outline future improvements.

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Notes

  1. https://github.com/geo-engine/geoengine.

  2. https://github.com/geo-engine/geoengine-ui.

  3. https://github.com/geo-engine/geoengine-python.

  4. http://www.opengeospatial.org.

  5. http://www.openapis.org.

  6. http://www.opencontainers.org.

  7. https://portal.geobon.org.

  8. http://www.nfdi4biodiversity.org.

  9. http://www.angular.io.

  10. http://www.webcomponents.org.

  11. http://www.material.io.

  12. http://www.libellula.org.

  13. Demonstration data from AK Libellen NRW (2020), http://www.ak-libellen-nrw.de.

  14. https://github.com/maja601/EuroCrops.

  15. https://registry.opendata.aws/sentinel-2-l2a-cogs.

  16. https://scikit-learn.org.

  17. https://earthengine.google.com.

  18. http://www.carto.com.

  19. http://www.mapbox.com.

  20. http://www.geonode.org.

  21. http://www.qgis.org.

  22. http://www.gbif.org/hosted-portals.

  23. http://www.ala.org.au.

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Acknowledgements

This work was partially funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) under grant numbers O3EUPHE069 and 50EE2303B.

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Authors and Affiliations

  1. Geo Engine GmbH, Am Kornacker 68, 35041, Marburg, Germany

    Christian Beilschmidt, Johannes Drönner, Michael Mattig & Bernhard Seeger

  2. Dept. of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Str., 35032, Marburg, Germany

    Bernhard Seeger

Authors
  1. Christian Beilschmidt
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  2. Johannes Drönner
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  3. Michael Mattig
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  4. Bernhard Seeger
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Corresponding author

Correspondence to Christian Beilschmidt.

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Beilschmidt, C., Drönner, J., Mattig, M. et al. Geo Engine: Workflow-driven Geospatial Portals for Data Science. Datenbank Spektrum 23, 167–175 (2023). https://doi.org/10.1007/s13222-023-00453-2

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