Data

Development and validation of the Global Urban Heat Vulnerability Index (GUHVI) - supplementary materials

RMIT University, Australia
Adewale Oyeyemi (Aggregated by) Anna Puig-Ribera (Aggregated by) Carl Higgs (Aggregated by) Daria Pugacheva (Aggregated by) Deepti Adlakha (Aggregated by)
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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.28581179.v2&rft.title=Development and validation of the Global Urban Heat Vulnerability Index (GUHVI) - supplementary materials&rft.identifier=10.25439/rmt.28581179.v2&rft.publisher=RMIT University, Australia&rft.description=This data package contains supplementary materials related to development and validation of the Global Urban Heat Vulnerability Index (GUHVI) conducted for 8 Australian capital cities, and 9 diverse cities worldwide. This research 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 and geemap API to generate an overall heat vulnerability raster, three sub-index rasters, and ten input rasters.POPD, SHDI, and IMR input rasters. The remaining inputs into the GUHVI are automatically fetched from cloud storage as the script runs.GUHVI and iHVI visual comparison as .jpg file.A folder for each of the 8 Australian cities involved in the study, containing the 14 GUHVI rasters, urban centre boundary in .shp format, and hottest third of the year date range in .txt format in the 'GUHVI Outputs' folder. The 'iHVI Outputs' folder contains the input LST, NDVI, NDBI .csv files, and the output heat vulnerability and sub-index .csv files. The 'QGIS Data' folder contains the SA1 .shp files attributed with heat vulnerability scores, and the iHVI and GUHVI comparison rasters.A folder for each of the 9 international cities involved in the study, containing the 14 GUHVI rasters, urban centre boundary in .shp format, hottest third of the year date range in .txt format, and the QGIS project file provided to collaborators for validation.R scripts for generating the normalized mean results, population percentage per heat vulnerability class table, and combined box, half-violin and strip plots for each city.The instructional video provided to collaborators as a .mp4 file, which outlines how to navigate the QGIS project, 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 for each city, and the OpenStreetMap data source used to perform the coastal pixel overlap methodology as a .pdf file.&rft.creator=Adewale Oyeyemi&rft.creator=Anna Puig-Ribera&rft.creator=Carl Higgs&rft.creator=Daria Pugacheva&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=Gonzalo Peraza-Mues&rft.creator=Joanna Valson&rft.creator=Ke Peng&rft.creator=Melanie Lowe&rft.creator=Pau Serra del Pozo&rft.creator=Qian Sun&rft.creator=Rossano Schifanella&rft.creator=Ruoyu Chen&rft.creator=Ruth F. Hunter&rft.creator=Ryan Turner&rft.creator=Vedankur Kedar&rft.creator=Xiaoyu Cheng&rft.date=2025&rft_rights= https://creativecommons.org/licenses/by/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=heat vulnerability&rft_subject=urban heat vulnerability&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
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This data package contains supplementary materials related to development and validation of the Global Urban Heat Vulnerability Index (GUHVI) conducted for 8 Australian capital cities, and 9 diverse cities worldwide. This research 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 and geemap API to generate an overall heat vulnerability raster, three sub-index rasters, and ten input rasters.
  2. POPD, SHDI, and IMR input rasters. The remaining inputs into the GUHVI are automatically fetched from cloud storage as the script runs.
  3. GUHVI and iHVI visual comparison as .jpg file.
  4. A folder for each of the 8 Australian cities involved in the study, containing the 14 GUHVI rasters, urban centre boundary in .shp format, and hottest third of the year date range in .txt format in the 'GUHVI Outputs' folder. The 'iHVI Outputs' folder contains the input LST, NDVI, NDBI .csv files, and the output heat vulnerability and sub-index .csv files. The 'QGIS Data' folder contains the SA1 .shp files attributed with heat vulnerability scores, and the iHVI and GUHVI comparison rasters.
  5. A folder for each of the 9 international cities involved in the study, containing the 14 GUHVI rasters, urban centre boundary in .shp format, hottest third of the year date range in .txt format, and the QGIS project file provided to collaborators for validation.
  6. R scripts for generating the normalized mean results, population percentage per heat vulnerability class table, and combined box, half-violin and strip plots for each city.
  7. The instructional video provided to collaborators as a .mp4 file, which outlines how to navigate the QGIS project, and how to access and record comments in the live spreadsheet.
  8. The complete validation spreadsheet with comments included as a .pdf file.
  9. Supplementary tables listing the urban centre boundary source files for each city, and the OpenStreetMap data source used to perform the coastal pixel overlap methodology as a .pdf file.

Issued: 13 10 2025

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Environment policy | Public participation and community engagement | Spatial data and applications | Spatial statistics | Strategic, metropolitan and regional planning | Urban planning and health | Urban policy | global | healthy cities | heat vulnerability | indicators | open data | open science | sustainable cities | urban | urban heat vulnerability |

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