Süd-Ago-Ost: Betweenness centrality on OSM drivable roads


FAIR Overall Score

77%

Abstract

Betweenness centrality topologic indicator calculated on the OSM drivable roads over the trans-national area composed of Alto Adige / Südtirol, Agordino (Belluno, Italy), and Osttirol (Lienz districit, Austria).

Keywords

Austria, betweenness centrality, drive, features, osm, sudagoost_tran_rds_ln_s4_osm_pp_drive_betwcentr

Supplemental information

Data downloaded, cleaned and processed via the OSMnx/NetworkX stack of Python packages. OSM Overpass query used to filter the data: ----------------------- ["highway"]["area"!~"yes"]["access"!~"private"]' ["highway"!~"abandoned|bridleway|bus_guideway|construction|corridor|cycleway|elevator|escalator|footway|path|pedestrian|planned|platform|proposed|raceway|service|steps|track|via_ferrata|rest_area|escape"] ["motor_vehicle"!~"no"]["motorcar"!~"no"] ["service"!~"alley|driveway|emergency_access|parking|parking_aisle|private"] -----------------------

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


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

Assessed 2026-07-22 (metrics 0.8)

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


# 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