Data

Methodological sensitivity in composite spatial heat vulnerability indices and implications for decision-making - Supplementary Material

RMIT University, Australia
Matt Duckham (Aggregated by) Qian Sun (Aggregated by) Ryan Turner (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.31829743.v3&rft.title=Methodological sensitivity in composite spatial heat vulnerability indices and implications for decision-making - Supplementary Material&rft.identifier=10.25439/rmt.31829743.v3&rft.publisher=RMIT University, Australia&rft.description=This data package contains materials supplementary to Methodological sensitivity in composite spatial heat vulnerability indices and implications for decision-making available as a preprint https://dx.doi.org/10.2139/ssrn.7467835This work has evolved over multiple iterations, including a CPGIS Student Paper Competition presentation at the 33rd International Conference on Geoinformatics 2026.This data package contains the following:Jupyter processing notebooks for each spatial composition framework to perform normalisation, weighting, generate the sub-indices and resultant composite heat vulnerability indices, and perform consensus agreement./FiguresSupplementary figures of the HVI spatial distribution for each city-weighting-composition combination./Google Earth Engine ScriptsGoogle Earth Engine scripts in JavaScript format to generate Landsat 8/9 LST, Sentinel 2 NDVI and NDBI, WorldPop total population, and WorldPop vulnerable population./Input DataAll spatial data inputs in GeoTIFF format; Land Surface Temperature (LST), Population Density (POPD), Normalised Difference Vegetation Index (NDVI), Normalised Difference Built-Up Index (NDBI), Vulnerable Population (POPV), Index of Relative Socio-economic Advantage and Disadvantage (IRSAD).Census data packs in GPKG format containing input data for POPD, POV and IRSAD under Administrative Boundaries (AB) composition./Processing OutputsAll sub-indices for each spatial weighting technique and each spatial composition framework in GeoTIFF format; Heat Exposure Index (HEI_EQW, HEI_ENW, HEI_PCA), Heat Sensitivity Index (HSI_EQW, HSI_ENW, HSI_PCA), Adapative Capability Index (ACI_EQW, ACI_ENW, ACI_PCA).Final composite heat vulnerability index for each weighting technique and spatial composition framework in GeoTIFF format; Heat Vulnerability Index (HVI_EQW, HVI_ENW, HVI_PCA).Administrative Boundaries (AB) composition output in GPKG format with all relevant attributes.Statistical summaries in Text File format.&rft.creator=Matt Duckham&rft.creator=Matt Duckham&rft.creator=Qian Sun&rft.creator=Ryan Turner&rft.date=2026&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Spatial data and applications&rft_subject=Urban informatics&rft_subject=heat vulnerability&rft_subject=urban heat risk&rft_subject=urban informatics&rft_subject=composite spatial index&rft_subject=weighting&rft.type=dataset&rft.language=English Access the data

Full description

This data package contains materials supplementary to Methodological sensitivity in composite spatial heat vulnerability indices and implications for decision-making available as a preprint https://dx.doi.org/10.2139/ssrn.7467835

This work has evolved over multiple iterations, including a CPGIS Student Paper Competition presentation at the 33rd International Conference on Geoinformatics 2026.

This data package contains the following:

Jupyter processing notebooks for each spatial composition framework to perform normalisation, weighting, generate the sub-indices and resultant composite heat vulnerability indices, and perform consensus agreement.

/Figures

  1. Supplementary figures of the HVI spatial distribution for each city-weighting-composition combination.

/Google Earth Engine Scripts

  1. Google Earth Engine scripts in JavaScript format to generate Landsat 8/9 LST, Sentinel 2 NDVI and NDBI, WorldPop total population, and WorldPop vulnerable population.

/Input Data

  1. All spatial data inputs in GeoTIFF format; Land Surface Temperature (LST), Population Density (POPD), Normalised Difference Vegetation Index (NDVI), Normalised Difference Built-Up Index (NDBI), Vulnerable Population (POPV), Index of Relative Socio-economic Advantage and Disadvantage (IRSAD).
  2. Census data packs in GPKG format containing input data for POPD, POV and IRSAD under Administrative Boundaries (AB) composition.

/Processing Outputs

  1. All sub-indices for each spatial weighting technique and each spatial composition framework in GeoTIFF format; Heat Exposure Index (HEI_EQW, HEI_ENW, HEI_PCA), Heat Sensitivity Index (HSI_EQW, HSI_ENW, HSI_PCA), Adapative Capability Index (ACI_EQW, ACI_ENW, ACI_PCA).
  2. Final composite heat vulnerability index for each weighting technique and spatial composition framework in GeoTIFF format; Heat Vulnerability Index (HVI_EQW, HVI_ENW, HVI_PCA).
  3. Administrative Boundaries (AB) composition output in GPKG format with all relevant attributes.
  4. Statistical summaries in Text File format.

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Identifiers
ACN 633 798 857