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

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.

Indicators

TBD (CREM)

Technologies

The technologies used for the database are:

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

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

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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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