Presenting air quality status through hot spot maps realized by using Kernel Density Estimation (KDE) - case study: Craiova, 2020/2021

Abstract

As hot spot mapping has become an usual technique used worldwide in order to obtain a clearer view on the geographic incidence of several factors from the most diverse fields, this paper aims to present a case study (developed late 2020 and early 2021) regarding air quality status of Craiova – an important Romanian city – involving the most relevant three gaseous air pollutants. The study has been realized by using a modern technique for generating hot spot maps on grids, as smooth continuous surfaces, which is Kernel Density Estimation (KDE).