GreenspacePerception data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?"

doi:10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325
Datacite citation style:
Teeuwen, Roos; Milias, Vasileios; Bozzon, A. (Alessandro); Psyllidis, Achilleas (2024): GreenspacePerception data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?". Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 3 - 2024-08-22 (latest)
version 2 - 2024-04-21 version 1 - 2024-01-24

Data on people's perceptions, vegetation index (NDVI), land use land cover class (OpenStreetMap), street view panorama metadata (Google Street View) of urban places in three cities in Europe: Barcelona, Rotterdam, and Gothenburg. The data on people's perceptions of places is pseudonymized. It includes people's ratings and corresponding reasons for how green places are, and how usable for 5 activity-types. It also includes NDVI and OpenStreetMap data around the corresponding places, collected using various radius distances. Please consult the associated scientific paper for further details.

history
  • 2024-01-24 first online
  • 2024-08-22 published, posted
publisher
4TU.ResearchData
format
Geotiff (.tif); GeoJSON (.geojson); Text (.txt); Graph (.graphml); Excel (.xlsx); Geopackage (.gpkg); Shapefile (.shp)
funding
  • Early Environmental quality and life-course mental health effects (grant code 874724) [more info...] European Commission
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centred Artificial Intelligence

DATA

files (79)