{"article_number":"100506","author":[{"first_name":"Marcel","orcid":"0000-0002-8841-9345","full_name":"Cardinali, Marcel","last_name":"Cardinali","id":"58462"},{"full_name":"Beenackers, Mariëlle A.","last_name":"Beenackers","first_name":"Mariëlle A."},{"first_name":"Arjan","full_name":"van Timmeren, Arjan","last_name":"van Timmeren"},{"orcid":"0000-0002-8594-3168","first_name":"Uta","id":"27166","full_name":"Pottgiesser, Uta","last_name":"Pottgiesser"}],"publication_status":"published","language":[{"iso":"eng"}],"publisher":"Elsevier BV","quality_controlled":"1","keyword":["Green space","Sensitivity analysis","Indicator","GIS","Script","Automatization"],"external_id":{"isi":["WOS:001001413900001"]},"publication_identifier":{"issn":["2665-9638"]},"citation":{"din1505-2-1":"Cardinali, Marcel ; Beenackers, Mariëlle A. ; van Timmeren, Arjan ; Pottgiesser, Uta: AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines. In: Software Impacts Bd. 16, Elsevier BV (2023)","chicago-de":"Cardinali, Marcel, Mariëlle A. Beenackers, Arjan van Timmeren und Uta Pottgiesser. 2023. AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines. Software Impacts 16. doi:10.1016/j.simpa.2023.100506, .","chicago":"Cardinali, Marcel, Mariëlle A. Beenackers, Arjan van Timmeren, and Uta Pottgiesser. “AID-PRIGSHARE: Automatization of Indicator Development in Green Space Health Research in QGIS. Accompanying Script to the PRIGSHARE Reporting Guidelines.” Software Impacts 16 (2023). https://doi.org/10.1016/j.simpa.2023.100506.","apa":"Cardinali, M., Beenackers, M. A., van Timmeren, A., & Pottgiesser, U. (2023). AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines. Software Impacts, 16, Article 100506. https://doi.org/10.1016/j.simpa.2023.100506","ama":"Cardinali M, Beenackers MA, van Timmeren A, Pottgiesser U. AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines. Software Impacts. 2023;16. doi:10.1016/j.simpa.2023.100506","ufg":"Cardinali, Marcel u. a.: AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines, in: Software Impacts 16 (2023).","bjps":"Cardinali M et al. (2023) AID-PRIGSHARE: Automatization of Indicator Development in Green Space Health Research in QGIS. Accompanying Script to the PRIGSHARE Reporting Guidelines. Software Impacts 16.","ieee":"M. Cardinali, M. A. Beenackers, A. van Timmeren, and U. Pottgiesser, “AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines,” Software Impacts, vol. 16, Art. no. 100506, 2023, doi: 10.1016/j.simpa.2023.100506.","short":"M. Cardinali, M.A. Beenackers, A. van Timmeren, U. Pottgiesser, Software Impacts 16 (2023).","havard":"M. Cardinali, M.A. Beenackers, A. van Timmeren, U. Pottgiesser, AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines, Software Impacts. 16 (2023).","mla":"Cardinali, Marcel, et al. “AID-PRIGSHARE: Automatization of Indicator Development in Green Space Health Research in QGIS. Accompanying Script to the PRIGSHARE Reporting Guidelines.” Software Impacts, vol. 16, 100506, 2023, https://doi.org/10.1016/j.simpa.2023.100506.","van":"Cardinali M, Beenackers MA, van Timmeren A, Pottgiesser U. AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines. Software Impacts. 2023;16."},"doi":"10.1016/j.simpa.2023.100506","status":"public","type":"journal_article","abstract":[{"lang":"eng","text":"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."}],"_id":"9894","intvolume":" 16","volume":16,"oa":"1","year":"2023","date_updated":"2025-04-23T08:17:32Z","date_created":"2023-05-09T09:34:00Z","publication":"Software Impacts","department":[{"_id":"DEP1000"},{"_id":"DEP1055"}],"user_id":"83781","title":"AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines","main_file_link":[{"open_access":"1"}]}