Data

Internationally Validated Open Access Indicators of Large Public Urban Green Space for Healthy and Sustainable Cities - Supplementary Material

RMIT University, Australia
Ana Queralt (Aggregated by) Anna Puig-Ribera (Aggregated by) Carl Higgs (Aggregated by) Case Garza (Aggregated by) Daria Pugacheva (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25439/rmt.26870314.v4&rft.title=Internationally Validated Open Access Indicators of Large Public Urban Green Space for Healthy and Sustainable Cities - Supplementary Material&rft.identifier=10.25439/rmt.26870314.v4&rft.publisher=RMIT University, Australia&rft.description=This data package contains supplementary materials related to 'Internationally Validated Open Access Indicators of Large Public Urban Green Space for Healthy and Sustainable Cities' first published in Geographical Analysis on 15 September 2025 https://doi.org/10.1111/gean.70023This research is related to large public urban green space (LPUGS) availability and accessibility indicator validation conducted for 13 diverse cities worldwide, and was initiated by the Global Observatory of Healthy and Sustainable Cities for the 1000 Cities Challenge and inclusion in the Global Healthy & Sustainable City Indicators (GHSCI) open-source software.This data package contains the following:The Jupyter Notebook hosting a custom Python script that makes use of the Google Earth Engine API to apply Normalized Difference Vegetation Index (NDVI) filtering on areas of public open space derived from the GHSCI open-source software to identify LPUGS.A folder for each of the 13 cities involved in the study, containing spatial data in .shp format for the urban centre boundary, large public urban green spaces, accessibility grid, and pedestrian network. Additionally, official local reference data is included for the 4 select cities analysed.The instructional video provided to collaborators is also included as a .mp4 file, which outlines how to access the accessibility web map, how to perform the LACO-Wiki validation, and how to access and record comments in the live spreadsheet.The complete validation spreadsheet with comments included as a .pdf file.Supplementary tables listing the urban centre boundary source files, official local reference data details, and further characteristic details of the 13 cities analysed as a .pdf file.Additionally, please follow this link to the GitHub repository hosting the accessibility web maps used in the validation exercise for each city.&rft.creator=Ana Queralt&rft.creator=Anna Puig-Ribera&rft.creator=Carl Higgs&rft.creator=Case Garza&rft.creator=Daria Pugacheva&rft.creator=Deborah Salvo&rft.creator=Deborah Salvo&rft.creator=Deepti Adlakha&rft.creator=Deepti Adlakha&rft.creator=Erica Hinckson&rft.creator=Erica Hinckson&rft.creator=Ester Cerin&rft.creator=Ester Cerin&rft.creator=Eugen Resendiz&rft.creator=Geoff Boeing&rft.creator=Geoff Boeing&rft.creator=Giovani Longo Rosa&rft.creator=J Molina-García&rft.creator=Júlio Celso Borello Vargas&rft.creator=Joanna Valson&rft.creator=Mahtab Baghaie Poor&rft.creator=Melanie Lowe&rft.creator=Pau Serra del Pozo&rft.creator=Rossano Schifanella&rft.creator=Ruoyu Chen&rft.creator=Ruth F. Hunter&rft.creator=Ryan Turner&rft.creator=Shiqin Liu&rft.creator=Shiqin Liu&rft.creator=Vuokko Heikinheimo&rft.date=2025&rft_rights= https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Urban planning and health&rft_subject=Public participation and community engagement&rft_subject=Strategic, metropolitan and regional planning&rft_subject=Spatial data and applications&rft_subject=Spatial statistics&rft_subject=Urban policy&rft_subject=Environment policy&rft_subject=green space&rft_subject=public open space&rft_subject=large public urban green space&rft_subject=sustainable cities&rft_subject=healthy cities&rft_subject=urban&rft_subject=global&rft_subject=indicators&rft_subject=open data&rft_subject=open science&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details

Full description

This data package contains supplementary materials related to 'Internationally Validated Open Access Indicators of Large Public Urban Green Space for Healthy and Sustainable Cities' first published in Geographical Analysis on 15 September 2025 https://doi.org/10.1111/gean.70023

This research is related to large public urban green space (LPUGS) availability and accessibility indicator validation conducted for 13 diverse cities worldwide, and was initiated by the Global Observatory of Healthy and Sustainable Cities for the 1000 Cities Challenge and inclusion in the Global Healthy & Sustainable City Indicators (GHSCI) open-source software.

This data package contains the following:

  1. The Jupyter Notebook hosting a custom Python script that makes use of the Google Earth Engine API to apply Normalized Difference Vegetation Index (NDVI) filtering on areas of public open space derived from the GHSCI open-source software to identify LPUGS.
  2. A folder for each of the 13 cities involved in the study, containing spatial data in .shp format for the urban centre boundary, large public urban green spaces, accessibility grid, and pedestrian network. Additionally, official local reference data is included for the 4 select cities analysed.
  3. The instructional video provided to collaborators is also included as a .mp4 file, which outlines how to access the accessibility web map, how to perform the LACO-Wiki validation, and how to access and record comments in the live spreadsheet.
  4. The complete validation spreadsheet with comments included as a .pdf file.
  5. Supplementary tables listing the urban centre boundary source files, official local reference data details, and further characteristic details of the 13 cities analysed as a .pdf file.

Additionally, please follow this link to the GitHub repository hosting the accessibility web maps used in the validation exercise for each city.

Issued: 22 09 2025

This dataset is part of a larger collection

Identifiers