Abstract
This study attempted to analyze the characteristics of heatwave damage in Gurye-gun and Sunchang-gun in 2018, at the height of a severe heatwave, and to identify detailed heatwave-vulnerable areas through spatial analysis. Data were assembled in units of aggregation zones for detailed spatial analysis. Shadow patterns, Sky view factor (SVF), and average radiation temperature distributions of 5m resolution were calculated using a solar radiation model for high-resolution thermal environment analysis. Individuals, environments, diseases, and weather factors that can affect heat wave damage were analyzed in units of census, and variables with spatial autocorrelation for Gurye-gun and Sunchang-gun were extracted through the model of Global Moran
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