Spatial Analysis of Air Pollution in Tehran City by Using of Autologistic and Centered Autologistic Models and Indicator Kriging Method

Urbanization and industrial activities have heavily caused air pollution in cities that make a serious threat for people‘s health. So، awareness of air quality over time periods and also the trend of air pollution changes in locations may have an important role in urban health management and land use policy-making. The data utilized in the present study included all concentr-ations of CO that were recorded by poll-ution measurement stations of Tehran city in 2011. Idicator kriging، autologistic and centered autologistic models were used to analyze these data. Arc Gis and R softw-ares were used to process these models. The predictions that were made by these methods showed that eastern، northern and central parts of Tehran city were more polluted than other zones. Among the methods used in this project، centered autologistic model was more precise than indicator kriging method and autologistic model. Discusion & The centered au-tologistic model is recommended to analyse spatial binary data. Because it provided a more precies prediction than indicator kriging method by considering the effects of explanatory variables. On the other hand، it eliminates the biases in fitted vlues of autologistic model.