“…Geographical data are abundant, but typically spatial unit of the data are predetermined, which sometimes hinders the delineation of the precise spatial boundaries of the concept under consideration. Afrose et al (2019) attack this issue utilizing a kernel density estimation (KDE) approach. KDE is a method to derive surface of densities or intensity of a phenomenon based on a set of point data of known longitude and latitude coordinates, which is independent of administrative partitioning.…”