GreenspacePerception (Github) data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?"
Datacite citation style:
Teeuwen, Roos; Milias, Vasileios; Bozzon, A. (Alessandro); Psyllidis, Achilleas (2024): GreenspacePerception (Github) data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
237
views
2028
downloads
categories
geolocation
Barcelona; Rotterdam; Gothenburg
time coverage
2023
licence
CC BY 4.0
Data on 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. Data on people's will be pseudonymized and added in the future. Please contact the authors if you have questions about this data in the mean time (r.f.l.teeuwen@tudelft.nl).
history
- 2024-01-24 first online, published, posted
publisher
4TU.ResearchData
format
Geotiff (.tif); GeoJSON (.geojson); Text (.txt); Graph (.graphml); Excel (.xlsx); Geopackage (.gpkg); Shapefile (.shp)
associated peer-reviewed publication
How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?
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
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download all files (zip)
1,122,417,647 bytes unzipped
