2026-10-07T18:34:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/31829743 2026-09-16T02:19:02Z category_35570 category_31802 portal_827 item_type_3 month_year_09_2026

Methodological sensitivity in composite spatial heat vulnerability indices and implications for decision-making - Supplementary Material Ryan Turner (18041008) Qian Sun (18028567) Matt Duckham (9312683) Spatial data and applications Urban informatics heat vulnerability urban heat risk urban informatics composite spatial index weighting <p dir="ltr">This data package contains materials supplementary to <b>Methodological sensitivity in composite spatial heat vulnerability indices and implications for decision-making</b> available as a preprint <a href="https://dx.doi.org/10.2139/ssrn.7467835" target="_blank" rel="noreferrer">https://dx.doi.org/10.2139/ssrn.7467835</a></p><p dir="ltr">This work has evolved over multiple iterations, including a CPGIS Student Paper Competition presentation at the <i>33rd International Conference on Geoinformatics 2026</i>.</p><p dir="ltr">This data package contains the following:</p><p dir="ltr">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.</p><p dir="ltr">/Figures</p><ol><li>Supplementary figures of the HVI spatial distribution for each city-weighting-composition combination.</li></ol><p dir="ltr">/Google Earth Engine Scripts</p><ol><li>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.</li></ol><p dir="ltr">/Input Data</p><ol><li>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).</li><li>Census data packs in GPKG format containing input data for POPD, POV and IRSAD under Administrative Boundaries (AB) composition.</li></ol><p dir="ltr">/Processing Outputs</p><ol><li>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).</li><li>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).</li><li>Administrative Boundaries (AB) composition output in GPKG format with all relevant attributes.</li><li>Statistical summaries in Text File format.</li></ol><p></p> 2026-03-25T00:29:39Z Dataset Dataset 10.25439/rmt.31829743.v3 https://figshare.com/articles/dataset/Limitations_of_Current_Methodological_Approaches_in_Composite_Spatial_Indices_of_Heat_Vulnerability_and_Implications_for_Decision_Making_-_Supplementary_Materials/31829743 CC BY 4.0