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

Marcel Cardinali; Mariëlle A. Beenackers; Arjan van Timmeren; Uta Pottgiesser

doi:10.1016/j.simpa.2023.100506

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

Marcel Cardinali^*, Mariëlle A. Beenackers, Arjan van Timmeren, Uta Pottgiesser

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

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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.

Original language	English
Article number	100506
Journal	Software Impacts
Volume	16
DOIs	https://doi.org/10.1016/j.simpa.2023.100506
Publication status	Published - 2023

Funding

The 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).

Keywords

Automatization
GIS
Green space
Indicator
Script
Sensitivity analysis

Access to Document

10.1016/j.simpa.2023.100506

1-s2.0-S266596382300043X-mainFinal published version, 3.05 MBLicence: CC BY

Cite this

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

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.",

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AU - van Timmeren, Arjan

AU - Pottgiesser, Uta

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AB - 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.

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KW - Script

KW - Sensitivity analysis

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JO - Software Impacts

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ER -

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

Abstract

Funding

Keywords

Access to Document

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Fingerprint

Green Health: Examining the role of green space characteristics and their proximity in green space health pathways

Script for: AID-PRIGSHARE: Automation of Indicator Development for Green Space Health Research in QGIS

Cite this

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

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Research output

Green Health: Examining the role of green space characteristics and their proximity in green space health pathways

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Script for: AID-PRIGSHARE: Automation of Indicator Development for Green Space Health Research in QGIS

Cite this