Paper Title
Projections of Air Pollution and Spatial Factors Affecting Coronary Disease Case Study: Sriracha District, Chonburi Province

Abstract
Air pollution is another major problem that arises in large urban areas, caused by dust or various toxic gases. Contaminated in the air when there is a large amount of toxic gas that is sufficient or exceeding the standard for a long time. The Pollution Control Department has been monitoring carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone gas (O3), dust smaller than 10 microns (PM 10), fine dust, and dust more than 2.5 microns (PM 2.5) obtained from 9 air quality monitoring stations. Using an Inverse Distance Weighted (IDW) area analysis to determine air pollution risk areas. Then, the population factor and the number of industrial plants in Sriracha District, Chonburi Province were then studied for the relationship with the number of coronary heart disease patients by converting it to Raster ascii values and using the data to Train in the RStudio program to study the area. Then the multiple linear regression equations were used. Multiple Linear Regression had an accuracy of 93%. The accuracy of the prediction is 88%. The variables that were most likely to cause cardiovascular disease were sulfur dioxide (SO2), dust smaller than 10 microns (PM10), population and industrial plants Sriracha District, Chonburi Province. The area with the greatest risk is Surasak Subdistrict, Sriracha District, Chonburi Province. Keywords - Air pollution, coronary heart disease (CHD), an Inverse Distance Weighted (IDW).