The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/cd965afa-f8c3-42ee-a00d-1db613263629

Cardinali, Marcel (2024): Script for: AID-PRIGSHARE: Automation of Indicator Development for Green Space Health Research in QGIS. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/cd965afa-f8c3-42ee-a00d-1db613263629.v1

Software

• Public Health and Health Services
• Environmental and Natural Resource Evaluation
• Other Built Environment and Design
• Other Environmental Sciences
• Urban and Regional Planning
• Built Environment and Design
• Environmental Sciences
• Environment
• Medical and Health Sciences

buffer, GIS, green space, greenness, script

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Marcel Cardinali

Accompanying Script to the PRIGSHARE Reporting Guidelines.

The PRIGSHARE_QGIS_Script will produce green space and greenness indicators in distances from 100-1.500m every 100m automatically.

A frequent demand in the interdisciplinary field of green space health research is to reduce the effort to assess green space, especially for non-spatial disciplines. Realizing this issue, we developed AID-PRIGSHARE. AID-PRIGSHARE is an open-source script with an easy-to-use user interface that substantially reduces the time-intensive and complex task of green space indicator generation by automatization. AID-PRIGSHARE will simultaneously calculate indicators such as mean greenness, total public green space, access to green infrastructure, and green space uses for distances of 100-1500m in 100m steps around a (home) address if the input layers are provided. This substantially reduces the effort for sensitivity analysis and may support research that aims to understand better the individual characteristics of green spaces and their effect range.

• 2024-04-16 first online, published, posted

4TU.ResearchData

.model3

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

https://github.com/mcardinali-data/AID-PRIGSHARE

• Horizon 2020 - SOCIETAL CHALLENGES - Climate action, Environment, Resource Efficiency and Raw Materials (grant code 776783) [more info...] European Commission

TU Delft, Faculty of Architecture and the Built Environment, Department of Architectural Engineering +Technology