@misc{13014,
  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 calculatesgreenness, green space amount, 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 green space indicators on health outcomes.}},
  author       = {{Cardinali, Marcel and Beenackers, Mariëlle A. and van Timmeren, Arjan and Pottgiesser, Uta}},
  booktitle    = {{Software Impacts}},
  issn         = {{2665-9638}},
  keywords     = {{Green space, Sensitivity analysis, Indicator, GIS, Script, Automatization}},
  publisher    = {{Elsevier BV}},
  title        = {{{AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines}}},
  doi          = {{10.1016/j.simpa.2023.100506}},
  volume       = {{16}},
  year         = {{2023}},
}