Abstract: With the increasing needs for spatial precipitation information, spatial interpolation method of precipitation is widely used. Different precipitation interpolation methods for different study areas and study aims will have different results. Taking Chun'an county in Zhejiang Province for example, using mean yearly and monthly precipitation of seventeen stations from 1959 to 2000 and some topography and geographical factors to carry on an investigation into spatial interpolation method of precipitation. Different interpolation methods were used to simulate precipitation spatial distribution based on geography information system(GIS) and geostatistics technology. The precisions and model maps of different interpolation methods were compared. Results show that mixed method, namely the combination of multiple regression and kriging interpolation method, is the best one for its high prediction accuracy verified by three validated stations.