Abstract: The disclosure provides a method of analyzing an influence factor for predicting a carbon dioxide concentration of any spatiotemporal position. Firstly, an atmospheric carbon dioxide spatiotemporal distribution simulation method is proposed. This simulation method constructs a simulation model simulating carbon dioxide concentration distribution of any position of a region based on machine learning algorithm in combination with carbon dioxide data of satellite observation and corresponding environmental factors; next, by use of a global sensitivity analysis method, quantitative evaluation on the importance of multiple influence factors for regional carbon dioxide distribution is achieved.