In order to explore the spatial pattern of bank mesh point and its formation mechanism in urban areas, ESDA-GIS is used in this paper to investigate the mesh point of Agricultural Bank of China (ABC) and its impact factors. And the types of agglomerative are also summarized in this study. In addition, to model the distribution of the mesh points and the related location forces, the method of kernel density estimation is used, the computation values and other location factors are consolidated and attached to the regular grids that covered the study area, based on which we construct the integrated spatial database and the prediction model of back propagation network.