Abstract
Geographic context is recognized as an important factor in explaining the potential vulnerability and damage from disasters. However, the spatial dimension of disaster damages is not always taken into account in traditional damage assessment. This article aims to provide a comprehensive methodology that incorporates multivariable analysis with a spatial statistical autocorrelation analysis model in order to assess damages caused by Typhoon Morakot. Three watersheds are selected as the case study site with the consideration of complexity among these divergent affected areas. Spatial autocorrelation analysis was utilized to measure localized hotspots of damage. The grouping maps of affected areas were constructed using cluster analysis. The geographic characteristics of these damages were further compared among the three watersheds. Finally, we discuss the underlying factors that result in the variability of spatial patterns associated with damage, and explain how the findings can make a contribution to policy making and recovery plan implementation regarding typhoon risk reduction.
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