Applying three dimension second order trend surface analysis and spatial interpolation method,with the meteorological data in 1971～2000 of 722 stations in China,climatic factors such as temperature,precipitation, and air humidity have been spatialized on the ArcGIS platform, and produced 180 climatological thematic maps with a resolution of 1km₂.The findings indicate that mean absolute errors of climatic factors are as follows:0.5℃ for mean temperature,mean maximum and minimum temperature;1℃ for extreme maximum temperature;1.5℃ for extreme minimum temperature;and 0.4 m·min-1 for mean wind speed.The mean relative error of some factors: accumulated temperature of ≥0℃,5℃,10℃,15℃, mean relative humidity is below 5%, and precipitation and water vapor deficit is about 10%.In conclusion,the simulated results of models are basically up to the level of application requirements.It provides basic data and a research platform for the disciplines of ecology,geography,and resources & environmental science.Analyses show that the spatial temporal pattern of spatializaiton error of climatic data varies with the density of meteorological observation stations and the characteristic of meteorological factor,etc.,in a general trend of western region > eastern region,winter > summer,discrete climatic factor > continuous ones,the extreme value > the mean value.