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.
FundingThe work of Marcel Cardinali was supported by the European Union's Horizon 2020 research and innovation programme [grant number 776783]. The work of Mariëlle Beenackers was supported by the Netherlands Organization for Scientific Research (NWO) (grant number 09150161810158/VI.Veni.194.041) and the European Union's Horizon 2020 research and innovation programme (grant number 956780).
- Green space
- Sensitivity analysis