BURUNDI: Roads topologic indicators
FAIR Overall Score
Abstract
The layer contains two topologic indicators computed on the nodes (roads intersections and dead-ends) of the OpenStreetMap (OSM) drivable roads dataset: i) Betweenness Centrality, and ii) Current Flow Betweenness Centrality.
Keywords
Supplemental information
All indicators have been computed on the networks of the each provinces of Burundi (ADM1 boundaries), then merged together onto a single dataset. Contains information from OpenStreetMap, which is made available here under the Open Database License (ODbL).
Legal constraints
Open Data Commons Open Database License / OSM (ODbL/OSM): You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors If you alter or build upon our data, you may distribute the result only under the same licence. (http://www.openstreetmap.org/copyright)
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: Roads topologic indicators charset UTF-8 · BURUNDI: Roads topologic indicators format_options=charset UTF-8 · BURUNDI: Roads topologic indicators csv · BURUNDI: Roads topologic indicators excel · BURUNDI: Roads topologic indicators gml2 · BURUNDI: Roads topologic indicators json · BURUNDI: Roads topologic indicators text xml +subtype gml 3.1.1 · BURUNDI: Roads topologic indicators image/png · BURUNDI: Roads topologic indicators image/png · BURUNDI: Roads topologic indicators application pdf · BURUNDI: Roads topologic indicators image jpeg · BURUNDI: Roads topologic indicators image png · BURUNDI: Roads topologic indicators image/png8 · BURUNDI: Roads topologic indicators
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 |