Research on the Spatial Interpolation Method for Temperature inInner Mongolia  

作　　者：王志恒[1,2] 朱衍达 

机构地区：[1]北京师范大学资源学院,北京100875 [2]舟山甬舟集装箱码头有限公司,浙江舟山 316033 [3]舟山甬舟集装箱码头有限公司,浙江舟山316033

出　　处：《地理空间信息》2014年第4期I0001-I0006,6,共6页Geospatial Information

基　　金：国家自然科学基金资助项目（41301468）;国家科技支撑计划资助项目（2012BAH33803,2012BAH33805）;民政部减灾和应应急工程重点实验室开发基金资助项目（LDRERE20120104）.

摘　　要：以内蒙古自治区为研究区，采用反距离权重法、样条函数法和普通克里金法对研究区119个气象观测站点的气温数据进行空间插值，结果表明，普通克里金法由于能够最优地描述气温在空间上的连续性变化特征，插值精度最高；反距离权重法插值精度次之，但其模拟结果趋于产生牛眼模式，且结果不能外推；样条函数法由于受到边界效应的影响，插值精度最低。Taking Inner Mongolia as the study area, the temperature data from 119 meteorological observation stations, which cover the study area, were spatially interpolated with IDW, Spline and Kriging. The results indicate that the method of Kriging obtains the highest accuracy, and is the optimum method for the interpolation of temperature because of the capability with optimal description of the spatial continuity of temperature distribution. The accuracy of IDW followed, but its simulation result tends to the bull＇s eye pattern and can＇t be extrapolated. Spline obtains the lowest precision, because of the influence of the edge effect.

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分 类 号：G353.23[文化科学—情报学] G232