Comparing Weighting Techniques for a Composite Spatial Indicator of Urban Heat Vulnerability - Supplementary Materials

Full description

This data package contains supplementary materials for Comparing Weighting Techniques for a Composite Spatial Indicator of Urban Heat Vulnerability submitted as a full paper to the 33rd International Conference on Geoinformatics 2026.

This data package contains the following:

1. Six 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 Disadvantage (IRSD).
2. Three sub-indices and summary statistics for each spatial weighting technique in GeoTIFF format; Heat Exposure Index (HEI_EQW, HEI_ENW, HEI_PCA), Heat Sensitivity Index (HSI_EQW, HSI_ENW, HSI_PCA), Adaptive Capacity Index (ACI_EQW, ACI_ENW, ACI_PCA).
3. Three composite urban heat vulnerability index for each spatial weighting technique in GeoTIFF format; Urban Heat Vulnerability Index (UHVI_EQW, UHVI_ENW, UHVI_PCA).
4. Spatial consensus and pairwise agreement summary statistics, and spatial consensus raster in GeoTIFF format.
5. Google Earth Engine scripts to derive summer composite 2023-2025 Landsat 9 LST, Sentinel 2 NDVI, Sentinel 2 NDBI, as well as 2025 WorldPop total population, and vulnerable population in JavaScript format.
6. Jupyter processing notebook to perform normalisation, weighting, generate the sub-indices and resultant composite urban heat vulnerability indices, and perform consensus agreement.
7. Supplementary figure showing the distribution of Köppen-Geiger climate classifications in the study area of Melbourne, Victoria, Australia.