MOOD_2017_RoadDensity_OSM_ER
<p>Road density for unclassified, minor, major, and autoroutes 2017. </p> <p><strong>Abstract: </strong></p> <p>This dataset was produced by extracting all road data from national-level Open Steet Map archives for 2017. The length of each type of road was calculated for a series of 5 square km grids covering the MOOD study area.</p> <p> </p> <p> <br><strong>Projection + EPSG code:</strong><br>Latitude-Longitude/WGS84 (EPSG: 4326)<br><strong>Spatial extent:</strong><br>Extent -24.5705863176307275,23.6115332000000535 : 44.5127470157025726,73.0115332000000308<br><strong>Spatial resolution:</strong><br>0.0083333 deg (approx. 1000 m) <br><strong>Temporal resolution:</strong><br>The year 2017<br><strong>Pixel values:</strong><br> Km of road per square km <br><strong>Source: </strong><br>Open Street Map<br><strong>Software used:</strong><br>The software used for map production is ESRI ArcMap 10.8</p> <p><br><strong>License: </strong>CC-BY-SA 4.0<br><strong>Processed by:</strong><br>ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0