Regression model for heat island identification: a systematic mapping

Abstract

Change is a significant contemporary phenomenon with consequences. In cities, this exacerbates the phenomenon of heat islands. They are impacting the health of the inhabitants and the thermal comfort zones in urban areas. Thus, it is increasingly necessary to identify the model of temperature inclusion related to a wide range of factors that allow the formation of heat islands. Therefore, this study aims to describe how studies of multiple linear regression models for urban heat islands have been carried out, thus identifying trends in current studies through a systematic literature mapping. From the definition of the string, the search was applied to four databases: Web of Science, Scopus, Engineering Village and Science Direct. Once the articles were selected (643 articles), the inclusion and exclusion criteria were applied, resulting in 34 adherent studies read in full. An increase in publications on this topic has been observed in recent years, and it has been demonstrated that the calculated feasibility of the model is relevant. Several studies seek to incorporate new variables into the analysis, however, there are few variables that give the models precision in the calculated values Several studies seek to incorporate new variables into the analysis, however, there are few variables that give the models precision in the calculated values, these being Normalized Difference Vegetation Index (NDVI), green areas, aspects related to urban geometry, proportion of water and built areas. These analyses will provide recommendations for future studies and an overview of the current literature.