Spatial Regression Models for Explaining AQI Values in Cities of Turkey

The aim of this study is to determine the natural and anthropogenic factors affecting air quality index (AQI) create a model that shows effects these on AQI values in cities Turkey. Natural factors, which are thought have an effect AQI, were determined interpreted with kriging maps. examined by explanatory spatial data analysis (ESDA). Global Moran’s I local (LISA) indices for presence relation. Spatial lag (SLM) was proposed parameter estimation instead ordinary least squares method (OLS) average 2014 2015 compared. It also concluded strong correlation relationship (Pearson coefficient 0.914). On Southern Anatolia, desert dust transport decreases region, however Black Sea coast, meteorological quality. Both SLM OLS models showed higher wind speed increases while increase GDP AQI.