A framework for spatial heat risk assessment using a generalized similarity measure

In this study, we develop a novel framework to assess health risks As it was noted by Intergovernmental Panel on Climate Change due to heat hazards across various localities (zip codes) across the (IPCC) (2014), impacts from extreme climate-related events emerge state of Maryland with the help of two commonly used indicators: from risk that are not only related to a specific hazard (e.g., heat exposure and vulnerability. Our approach quantifies each of the waves), but also directly depends on the two other elements; exposure two aforementioned indicators by developing their corresponding and vulnerability. Exposure addresses the population and assets feature vectors and subsequently computes indicator-specific reference at risk while vulnerability indicates the susceptibility of human and vectors that signify a high risk environment by clustering the natural systems during an extreme event[16].