With the rapid development of the grape and wine industry in China, there is an increasing demand of the breadth and precision for climatic regionalization of grape. The climate types of China are complex; the grape varieties for cultivation are plenty, so the regionalization work is difficult. Most of the previous studies mainly focused on one region or one variety, the overall grape regionalization index system is not formed yet; because the data is difficult to be obtained and processed, the regionalization has generally low accuracy. The purpose of this study is to select suitable regionalization indexes and appropriate regionalization methods to improve the accuracy of grape climatic regionalization. This study analyzed the indexes which were adopted in the grape climatic regionalization researches in various regions of China during the past 30 years and chose the active accumulated temperature in the grape growth season and the frost-free period as the heat index, the dryness index in the grape growth season as the moisture index, to establish the multivariate stepwise regression model of the frost-free period and active accumulated temperature on the basic of the meteorological data of 2294 stations in 30 years (from 1982 to 2011) and the digital elevation model (DEM) data with the resolution of 3″ (90 meter) in China, and chose cross validation method to contrast the error caused by different interpolation methods. The ordinary kriging and inverse distance weighting methods were adopted to make interpolation of the spatial regression residual error of the frost-free period and the active accumulated temperature, and the ordinary kriging was chosen for the spatial interpolation of dryness index. Supported by ArcGIS, the raster layers of frost-free period, dryness index and active accumulated temperature are drawn according to the above method. The climatic regionalization map of grape with high accuracy in China was produced on this basis, the suitable cultivation area for grape in China was divided into 4 districts, they are Vitis amurensis suitable cultivation area, Vitisvinifera suitable cultivation area, Franco-American suitable cultivation area and Shelter cultivation area, and presented the suitable grape varieties for different cultivation regions and the problems which should be paid attention to. Opinions and suggestions for grape cultivation in different regions were also put forward according to the different regional characteristics. Topographic factors including elevation, slope, aspect, latitude, and longitude were taken into consideration in terms of the complex geography and distinct tridimensional variety of climate resources in China. The DEM with the resolution of 3″ was adopted in this study, more weather stations data is used, and the mixed interpolation method which combined multiple stepwise regression and residual interpolation method was also adopted in the spatial simulation of the heat indexes in the regionalization. The simulation accuracy of each meteorological factor was improved to reduce the error and make the regionalization more accurate by the introduction of dryness index. This study provided certain reference value not only to the development of grape and wine industry, but also provide scientific support for agricultural sustainable development in China.