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

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: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 Disadvantage (IRSD).All sub-indices 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), Adapative Capability Index (ACI_EQW, ACI_ENW, ACI_PCA).Final composite urban heat vulnerability index for each spatial weighting technique in GeoTIFF format; Urban Heat Vulnerability Index (UHVI_EQW, UHVI_ENW, UHVI_PCA).Spatial consensus raster in GeoTIFF format.Google Earth Engine scripts to derive Landsat 9 LST, Sentinel 2 NDVI, Sentinel 2 NDBI, WorldPop total population, and WorldPop vulnerable population in JavaScript format.Jupyter processing notebook to perform normalisation, weighting, generate the sub-indices and resultant composite urban heat vulnerability indices, and perform consensus agreement.Supplementary figure showing the distribution of Köppen-Geiger climate classifications in the study area of Melbourne, Victoria, Australia.