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

Autor:	Marcel Cardinali, Mariëlle A. Beenackers, Arjan van Timmeren, Uta Pottgiesser
Přispěvatelé:	Public Health
Rok vydání:	2023
Předmět:	Green space Indicator Script GIS Sensitivity analysis Software Automatization
Zdroj:	Software Impacts, 16 Software Impacts, 16:100506. Elsevier
ISSN:	2665-9638
DOI:	10.1016/j.simpa.2023.100506
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37418c464a34a47438a726444a354611 https://doi.org/10.1016/j.simpa.2023.100506 Zobrazit plný text záznamu