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.v2
The DOI displayed 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

(2024): GreenspacePerception data repository: underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c3ad699-5ed4-4e91-8435-fb537e01f325.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

434
views
3299
downloads

Categories

Keywords

Geolocation

Barcelona; Rotterdam; Gothenburg

Time coverage

2023

Licence

CC BY 4.0

Interoperability

by

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 perceptions will be pseudonymized and added in the future. Please contact the authors if you have questions about this data in the mean time ([email protected]).

History

  • 2024-01-24 first online
  • 2024-04-21 published, posted

Publisher

4TU.ResearchData

Format

Geotiff (.tif); GeoJSON (.geojson); Text (.txt); Graph (.graphml); Excel (.xlsx); Geopackage (.gpkg); Shapefile (.shp)

Organizations

TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centred Artificial Intelligence