In this study, a geographically weighted regression (GWR) approach was adopted to forecast regional concentration of particulate matter 2.5 (PM2.5) for the southern Ontario based on both in situ meteorological measurement and Satellite retrievals aerosol optical depth (AOD). The correlation between monitored PM2.5 Satellite-retrieved AOD would be quantified. ground-level South area then predict...

In order to develop a sustainable, safe, and dynamic transportation system, proper attention must be paid the safety of pedestrians. The purpose this study is analyze surrogate measures related pedestrian crash exposure in urban roads, including use sociodemographic characteristics, land use, geometric characteristics network. This develops models using geographical spatial geographically weigh...

Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows heterogeneities processes relationships to be investigated through a series local regression models rather than single global one. Standard GWR assumes that between the response predictor variables operate at same scale, which frequently not case. To address this, severa...