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

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 15 april 2024
Wat erin zit
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.
Bestanden en diensten
- DataCite REST API (JSON)api.datacite.orgOpenen
Vergelijkbare datasets
Analysis code + codebook of thematic analysis underlying publication: "Supporting adolescents’ mHealth needs: Qualitative and quantitative insights from a user survey of a mental health promoting app"4TU.ResearchDataGreenspaceAccessibility (Github) code repository: spatial analysis underlying the journal paper "Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings"4TU.ResearchDataGreenspaceAccessibility (Github) code repository: spatial analysis underlying the journal paper "Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings"4TU.ResearchDataChildsPlayAccessibility (Github) code repository: spatial analysis underlying the conference paper "Easy as child’s play? Co-designing a network-based metric for children’s access to play space"4TU.ResearchDataChildsPlayAccessibility (Github) code repository: spatial analysis underlying the conference paper "Easy as child’s play? Co-designing a network-based metric for children’s access to play space"4TU.ResearchDataData and code underlying the research project: Users’ attitude towards adding human feedback when preparing for quitting smoking/vaping with a virtual coach. A mixed-methods analysis4TU.ResearchDataUser experiences with digital future-self interventions in the contexts of smoking and physical activity: A mixed methods multi-study exploration - Data and analysis code4TU.ResearchDataData and code underlying the publication: MUSICiAn: Genome-wide Identification of Genes Involved in DNA Repair via Control-Free Mutational Spectra Analysis4TU.ResearchData
Meer van 4TU.ResearchData6.729 datasets
Data and code underlying the publication: Hydrogel-based method for high-resolution measurements of contact mechanics in rapid biological adhesives: A case study in cuttlefish tentacle strikesData underlying the paper: Emergent non-reciprocal pair interactions in catalytically propelled active polyhedraCollection of datasets underlying the PhD dissertation "Impact of decarbonization uncertainties on ship design: A design framework integrating layout modelling and decision making"Supplementary data for the paper 'A multilingual metadata dataset of 90,189 explicitly labelled ASMR videos uploaded to YouTube between 2008 and 2026''Data supporting the publication: Trustworthy LLM-Assisted Qualitative Content Analysis MethodSupplementary dataset accompanying chapter 5 of the dissertation: “Alkaline Anaerobic Digestion”.