引用本文: 徐武平, 邱峰, 徐爱萍. 空间数据插值的自动化方法研究[J]. 武汉大学学报 ( 信息科学版), 2016, 41(4): 498-502.
XU Wuping, QIU Feng, XU Aiping. Automatic Method of Kriging Interpolation of Spatial Data[J]. Geomatics and Information Science of Wuhan University, 2016, 41(4): 498-502.
 Citation: XU Wuping, QIU Feng, XU Aiping. Automatic Method of Kriging Interpolation of Spatial Data[J]. Geomatics and Information Science of Wuhan University, 2016, 41(4): 498-502.

## Automatic Method of Kriging Interpolation of Spatial Data

• 摘要: 克里金插值是空间数据插值的常用方法,其关键在于变异函数的正确拟合。目前一些空间统计分析工具及开发包对变异函数的拟合主要以一定的人工经验为先导,通过直观的方法来确定变异函数的一些参数并反复调整,这种人工干预的操作步骤不仅妨碍了克里金插值的自动化,参数设置和模型选择也没有科学理论依据,因此预测的结果往往不精确。针对这一问题,围绕着自动化目标,基于R语言中的变异函数的自动拟合函数实现了自动克里金插值,并对自动拟合模型进行了自动交叉验证。实验结果表明该空间数据插值自动化方法可行。

Abstract: Kriging interpolation is a common method applied to spatial data. Correct fitting of the variogram mode is the key to kriging interpolation. At present, experience is the guide when fitting variograms in analysis tools and development kits. An intuitional method is used to determine the parameters of a variogram and the parameters are adjusted reiteratively. These artificial operational steps obstruct the automation of kriging interpolation but also are not based on scientific theories relevant to setting parameters and option modes As a result, the predictive results are not exact. Aiming to address this problem and with the goal of automating the process, in this paper we calculate the sampling variogram and an automatic fitting algorithm for variograms is studied. Automatic kriging interpolation is realized and automatic cross validation is conducted based on the automatic fitting function in R language. The results of experiments show that a automatic method for kriging interpolation to spatial data is feasible.

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