SOUTH TYROL: Tessellated population day/night (~250m)
FAIR Overall Score
Abstract
Multi-temporal aggregated population data over South Tyrol onto an hexagonal tessellation of ~250m. Day-time, night-time and commuting time are available.
Keywords
Supplemental information
Commute data has been modelled based on real home/work trips data, after (probabilisitic) projection onto the common hexagonal tessellation.
Legal constraints
Varied / Derived: The constituent parts of this item have different licenses. Go to each part to see license information.
Contact for resource
Eurac Research - Center for Climate Change and Transformation
piero.campalani@eurac.edu
Bolzano, ITA
Contact for metadata
Eurac Research - Center for Climate Change and Transformation
piero.campalani@eurac.edu
Bolzano, ITA
Download online resources
SHAPE-ZIP · SOUTH TYROL: Tessellated population day/night (~250m) charset UTF-8 · SOUTH TYROL: Tessellated population day/night (~250m) format_options=charset UTF-8 · SOUTH TYROL: Tessellated population day/night (~250m) csv · SOUTH TYROL: Tessellated population day/night (~250m) excel · SOUTH TYROL: Tessellated population day/night (~250m) gml2 · SOUTH TYROL: Tessellated population day/night (~250m) json · SOUTH TYROL: Tessellated population day/night (~250m) text xml +subtype gml 3.1.1 · SOUTH TYROL: Tessellated population day/night (~250m) image/png · SOUTH TYROL: Tessellated population day/night (~250m) image/png · SOUTH TYROL: Tessellated population day/night (~250m) image/png · SOUTH TYROL: Tessellated population day/night (~250m) application pdf · SOUTH TYROL: Tessellated population day/night (~250m) image jpeg · SOUTH TYROL: Tessellated population day/night (~250m) image png · SOUTH TYROL: Tessellated population day/night (~250m) image/png8 · SOUTH TYROL: Tessellated population day/night (~250m)
FAIR Overall Score: 77%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 57% | 4 of 7 | moderate |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 83% | 5 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
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| 1 | Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
| 2 | maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |