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AID-PRIGSHARE

Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines

Journal Article (2023)
Author(s)

Marcel Cardinali (TU Delft - Heritage & Architecture)

Mariëlle A. Beenackers (Erasmus MC)

A. Van Timmeren (TU Delft - Environmental Technology and Design)

U. Pottgiesser (TU Delft - Heritage & Architecture)

Research Group
Heritage & Architecture
Copyright
© 2023 M. Cardinali, Mariëlle A. Beenackers, A. van Timmeren, U. Pottgiesser
DOI related publication
https://doi.org/10.1016/j.simpa.2023.100506
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 M. Cardinali, Mariëlle A. Beenackers, A. van Timmeren, U. Pottgiesser
Related content
Research Group
Heritage & Architecture
Volume number
16
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Abstract

In the interdisciplinary field of green space health research, there is a demand to reduce the effort to assess green space, especially for non-spatial disciplines. To address this issue, we developed AID-PRIGSHARE, an open-source script that automates over 400 QGIS processes to substantially reduces the time-intensive task of generating green space indicators. AID-PRIGSHARE calculates greenness, public green space, access to green infrastructure, and green space uses within distances of 100–1500 m around geolocations. This substantially reduces the effort for sensitivity analysis and may provide support for research that aims to understand the impact of different green space features and distances on health outcomes.