Abstract:Based on the selection of surface coverage data, night light data and DEM data, combining with the resident population data of counties (cities and districts) in Jiangxi Province in 2015, the relevant factors suitable for constructing the population regression model are screened to construct the spatial regression model, and the grid fitting results of the optimal model are corrected. The results show that the surface coverage data is more suitable for the overall spatial modeling of population data in Jiangxi Province, and the population fitting accuracy of spatial error model is better than that of spatial lag model; The spatial results of population grid can clearly show the changes of internal population distribution of counties (cities and districts) in Jiangxi Province in 2015.