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Motor vehicle exhaust is the main source of Carbon Monoxide (CO). In urban areas, where motor vehicles are easily found, CO is commonly identified as one of the air polluter sources. CO is hazardous, and human being will suffer from serious health problems if they are exposed to this polluting agent in a prolonged period. This study aims to develop a model that will aid the effort to minimize the negative effects of CO. The model is built in which it will be able to show the cause-factors and the preventing-factors of CO generation. The Mixed Geographically Temporal Weighted Regression (MGTWR) approach is used as

Development of air polluter model for the carbon monoxide (CO) element based on mixed geographically temporal weighted regression (MGTWR) kriging