Abstract: Topographic factors including elevation, slope, aspect, hill shade and latitude, longitude were taken into consideration in terms of the complex geography and distinct tridimensional variety of climate resources in Chongqing. Applied the multi-factors sunshine hours simulation and small grid simulation methods in the prediction model, the author, supported by ArcGIS, precisely calculated the spatial distribution of the length of annual sunshine hours, annual temperature, annual active accusation temperature and rainfalls in Chongqing which were expressed visually in this paper, and also compared it with traditional spatial interpolation methods including regression and kriging . The results have shown the following findings: Multi-factors sunshine hours simulation can achieve better results in sunshine hours simulation; while small grid simulation with Spline interpolation and small grid simulation with IDW interpolation are better for annual average temperature, 10℃ accumulated temperature and annual rainfalls respectively. Based on these, the major characteristics of Chongqing agricultural climate factors spatial distribution were analyzed in the end. The results of the research are not only useful for utilizing and developing the local climate resources, but also provide detailed data and scientific support for agricultural sustainable development.