Table of Contents

Introduction

The database built for Hotmaps is a spatial Data Warehouse made available to the platform for visualization and computation purposes.

There are different kinds of data:

  • raster datasets (at hectare level)
  • vector datasets (NUTS/LAU regions, points of interest, ...)
  • non-spatial datasets (mostly NUTS/LAU related and linked to existing vector layers)

The datasets can be accessed via a geospatial server (GeoServer) which provides different services (WMS/WFS/...) that allows anyone to display, include or use those datasets.

The datasets can be found on the Gitlab repository

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Query

Please note that aggregations when selecting NUTS or LAU regions are pre-computed and therefore faster than aggregations of hectare selections which are computed on-the-fly.

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Indicators

TBD (CREM)

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prod-test-revert

Technologies

The technologies used for the database are:

  • PostgreSQL version 9.6
  • PostGIS version 2.3
  • GeoServer version 2.11.2

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References

  • Simon Pezzutto, Stefano Zambotti, Silvia Croce, Pietro Zambelli, Giulia Garegnani, Chiara Scaramuzzino, Ramón Pascual Pascuas, Alyona Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Mueller (e-think), Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kühnbach, Pia Manz, Simon Marwitz, Matthias Rehfeldt, Jan Steinbach, Eftim Popovski (Fraunhofer ISI) Reviewed by Lukas Kranzl, Sara Fritz (TUW) Hotmaps Project, D2.3 WP2 Report – Open Data Set for the EU28, 2018 www.hotmaps-project.eu

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How to cite

Daniel Hunacek and Lucien Zuber, in Hotmaps Wiki, Database behind the Hotmaps toolbox (September 2020)

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Authors and reviewers

Authors:

  • Daniel Hunacek
  • Lucien Zuber

Reviewers:

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Acknowledgement

We would like to convey our deepest appreciation to the Horizon 2020 Hotmaps Project (Grant Agreement number 723677), which provided the funding to carry out the present investigation

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German*

* machine translated