BURUNDI: OSM intrinsic completeness by discrete classification
FAIR Overall Score
Abstract
OpenStreetMap intrinsic complete analysis by discrete classification of its collines using terrain ruggedness and gridded population estimates as auxiliary predictors.
Keywords
Supplemental information
"High" and "low" in the data mean either greater than 3rd quartile or lower than 1st quartile of the sample data.
Legal constraints
Public Domain (PD): Works in the public domain may be used freely without the permission of the former copyright owner. (http://www.copyright.gov/help/faq/faq-definitions.html)
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 · BURUNDI: OSM intrinsic completeness by discrete classification charset UTF-8 · BURUNDI: OSM intrinsic completeness by discrete classification format_options=charset UTF-8 · BURUNDI: OSM intrinsic completeness by discrete classification csv · BURUNDI: OSM intrinsic completeness by discrete classification excel · BURUNDI: OSM intrinsic completeness by discrete classification gml2 · BURUNDI: OSM intrinsic completeness by discrete classification json · BURUNDI: OSM intrinsic completeness by discrete classification text xml +subtype gml 3.1.1 · BURUNDI: OSM intrinsic completeness by discrete classification image/png · BURUNDI: OSM intrinsic completeness by discrete classification application pdf · BURUNDI: OSM intrinsic completeness by discrete classification image jpeg · BURUNDI: OSM intrinsic completeness by discrete classification image png · BURUNDI: OSM intrinsic completeness by discrete classification image/png8 · BURUNDI: OSM intrinsic completeness by discrete classification
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
Related docs
| # | Name | Description | Link | Date published | Category |
|---|---|---|---|---|---|
| 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 |