基于GIS的江西省气温空间插值方法比较

Comparison of Temperature Spatial Interpolation Methods Based on GIS in Jiangxi Province

以江西省及其邻近省份132个气象站点1981~2010年的累年年平均气温数据为基础,结合研究区的DEM和边界数据,借助ArcGIS平台,采用反距离权重法(IDW)、张力样条函数法(Tension Spline)和普通克里金法(OK)对气温数据进行了空间插值,并对插值结果采取实际验证的方法测算了其插值精度。结果表明:反距离权重法的插值效果最好,综合分析得出江西省气温的空间插值方法误差排序为:IDWOK Tension Spline。

Based on annual mean temperature data of 132 meteorological stations in Jiangxi province and its neighboring provinces from 1981 to 2010,combined with the DEM of the study areas and Jiangxi province boundary data,with the help of ArcGIS platform,using the inverse distance weight method(IDW),tension spline method(Tension Spline)and ordinary kriging method(OK)are used to interpolate the temperature data in space.The interpolation accuracy is calculated by practical verification method.As a result,the interpolation effect of inverse distance weight method is the best,and the error ranking of spatial interpolation methods of temperature in Jiangxi province is as follows:IDW<OK<Tension Spline.