Name: Yao Xu
Title: Exploring the Impact of Humidity Factors on Urban Heat Island in Dense Urban Areas Using Spatial Statistical Regression Models
Program: Department of Urban & Regional Planning
Urban Heat Island (UHI) effect is an important problem in urban areas especially in highly-dense cities. In this study, factors causing urban heat island effect is investigated using spatial statistical methods. The research involves: (a) estimating land surface temperature using satellite images; (b) generating urban parameters with geospatial information; and (c) building OLS and spatial regression models. Information characterizing urban areas in Duval County, FL are stored using 30m grids. In the OLS model, the results show independent variables have strong impacts on surface temperatures. However, residuals of the linear model are not randomly distributed. Moran’s I test indicates that there is a statistically significant spatial dependency. Therefore, Spatial Autoregressive (SAR) Model is used to control the spatial dependency. Results of the SAR model demonstrate the potential of such models to explain the urban heat island effects in better way.