Analyze and compare the Spatial Interpolation Methods for climate factor

Climate factor is not only considered as important index bases in the comprehensive and sequential classes,but also has great impact on composing and growth of species,accumulation and succession of dry-substance,and also has close relation with biological diversity and potential of land utilization.The character of climatic spatial distribution indicates that the result of average annual air temperature,average annual precipitation and annual accumulated temperature becomes to decrease with the increasing of latitude and elevation.But there is no clear difference between spatial interpolations which is calculated by different interpolation method.Based on ArcMap8.3 GIS,the observed data which are average annual air temperature,average annual accumulated temperature and average annual precipitation for 30 years from 1961 to 1990 from 2114 meteorological stations in China and its nearby regions are compared and analyzed by Spline,IDS,OK.The result of cross-validation tests shows that the precision of interpolated result is very high when select proper meteorological stations.In ordinary kriging,the precision of interpolated result is similar among Spherical Model,Circular Model,Exponential Model,except Gaussian Model with the same climatic factor.The relative mean errors of these three methods are ranked as: OK Spline IDS,relative average errors are 7.65%,7.9% and 7.95% for interpolating average annual air temperature.Relative excellence is OK Spline = IDS,relative average errors are 8.31%,8.76% and 8.76% for average annual precipitation.OK IDS Spline for average annual accumulated temperature,and relative excellence is 5.82%,6.11% and 6.13%.