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. 2016 Nov 7;6:36369. doi: 10.1038/srep36369

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Copyright © 2016, The Author(s)

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High Getis-Ord z-scores indicate more intense clustering of high declarations (hotspots), shown in red, and low z-scores show more intense clustering of low declarations (cold spots), shown in blue. (A) Total Bushfire Disaster Declarations; (B) Total Flood Disaster Declarations; (C) Total Storm Disaster Declarations; (D) Total Disaster Declarations (all types combined). The 10% most socio-economically disadvantaged LGAs in NSW are shown with dark boundaries. Figure created using Esri ArcGIS 10.2 (https://esriaustralia.com.au/products-arcgis-software-102).

Inline graphic — High Getis-Ord z-scores indicate more intense clustering of high declarations (hotspots), shown in red, and low z-scores show more intense clustering of low declarations (cold spots), shown in blue. (A) Total Bushfire Disaster Declarations; (B) Total Flood Disaster Declarations; (C) Total Storm Disaster Declarations; (D) Total Disaster Declarations (all types combined). The 10% most socio-economically disadvantaged LGAs in NSW are shown with dark boundaries. Figure created using Esri ArcGIS 10.2 (https://esriaustralia.com.au/products-arcgis-software-102).