BOZEN AREA: tessellated OSM drivable roads (~250m)


FAIR Overall Score

77%

Abstract

Drivable roads from OpenStreetMap over the area of Bozen (South Tyrol) onto an hexagonal tessellation of ~250m.

Keywords

Italy, drive, features, osm, st_tran_rds_ln_s4_osm_pp_drive_250tess_bz, tessellated

Supplemental information

An edge in the roads network exist when at least 1 road in the original OSM network intersects with the underlying hexagonal tessellation. The "count" field registers the number of such roads per each edge. The type and number of roads intersecting with the cells borders both participate in the definition of the "weight". The more important the road, the higher the weight. Python packages used: NetworkX, Shapely, GeoPandas.

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


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