Data underlying PhD thesis: GREEN HEALTH. Examining the role of green space characteristics and their proximity in green space health pathways

doi:10.4121/ea7ea070-8df9-49b2-b60e-8a25759af8dc.v1
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/ea7ea070-8df9-49b2-b60e-8a25759af8dc
Datacite citation style:
Cardinali, Marcel (2024): Data underlying PhD thesis: GREEN HEALTH. Examining the role of green space characteristics and their proximity in green space health pathways. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ea7ea070-8df9-49b2-b60e-8a25759af8dc.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The research objective was to examine if the significant findings between green space, air pollution and health stem from unique green space characteristics or similar mechanisms. This dataset is a correlation matrix of 135 green space indicators gathered in GIS, covering 9 different green space characteristics (mean surrounding greenness (NDVI 0-1), sum surrounding greenness (NDVI 0-1), mean accessible greenness (NDVI 0-1), surrounding green space (m2), surrounding green corridors (m2), surrounding total green space (m2), accessible green space (m2), accessible green corridors (m2), accessible total green space (m2), in 15 distances from 100 to 1,500 m every 100 m.

history
  • 2024-04-12 first online, published, posted
publisher
4TU.ResearchData
format
.xlsx
organizations
TU Delft, Faculty of Architecture and the Built Environment, Department of Architectural Engineering +Technology

DATA

files (1)