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: 10.4121/558f6150-a3e9-4960-82b2-cd2115c070d4

Teeuwen, Roos; Psyllidis, Achilleas; Milias, Vasileios; Bozzon, A. (Alessandro) (2024): GreenspacePerception (Github) code repository: analysis underlying the publication "How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?". Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/558f6150-a3e9-4960-82b2-cd2115c070d4.v2

Software

x choose version: version 1 - 2024-01-24

• Urban and Regional Planning
• Physical Geography and Environmental Geoscience
• Public Health (excl. Specific Population Health)
• Earth Sciences
• Built Environment and Design
• Health

Crowdsourcing, NDVI, OpenStreetMap, Urban greenspace, Visual perception

2023

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Roos Teeuwen , Achilleas Psyllidis , Vasileios Milias , A. (Alessandro) Bozzon

These notebooks allow to collect spatial data, specifically NDVI, OpenStreetMap and Google Street View metadata, and conduct the quantitative analysis to research how well NDVI and OpenStreetMap data capture what people visually perceive as being urban greenspaces. These notebooks were used in complementation by data collection through a crowdsourcing questionnaire to collect people's perceptions of places presented in Google Street View imagery. The quantitative analysis was followed up by a qualitative analysis, of which the codebook is added to this repository as well as an .xlsx file.

This code was developed for three cities in Europe: Barcelona, Rotterdam, and Gothenburg, but can be adapted to fit other geographical contexts.

• 2024-01-24 first online

• 2024-04-15 published, posted

4TU.ResearchData

Jupyter Notebooks (.ipynb); Excel (.xlsx)

How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?

• https://github.com/rflteeuwen/GreenspacePerception/blob/main/README.md

• Early Environmental quality and life-course mental health effects (grant code 874724) [more info...] European Commission

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