The Application of Principal Component Regression Models in Air Quality Analysis Based on SuperMap GIS

In order to make better use of existing environmental data resources and enhance regional environmental management and improve the environment, this paper uses the work method which is effectively integrated by GIS and multivariate statistical analysis technology, through the regional air pollution relevant data of the combination of urban and rural areas in western Beijing, using the principal component analysis and regression analysis based on SuperMap GIS Platform of this paper prophase development method. The corresponding regional environmental problems in the region are targeted extracted, classified, concluded, and analyzed, and rapid exploration and summary of regional environmental pollution rules. This work has some reference value to the improvement of the environmental quality of urban areas.