普通Kriging法在空间内插中的运用  

Ordinary Kriging Algorithm Applied for Interpolation

作　　者：苏姝[1] 林爱文[1] 刘庆华 

机构地区：[1]武汉大学资源与环境科学学院,湖北武汉430079 [2]日本工营株式会社中央研究所

出　　处：《江南大学学报（自然科学版）》2004年第1期18-21,共4页Joural of Jiangnan University (Natural Science Edition)　

摘　　要：用克里格法进行插值不仅能获得预测结果,而且能够获得预测误差.克里格法也是求线性最优、无偏内插的一种方法.该方法优于最近距离插值、距离反平方插值等任何一种线性插值方法.普通克里格法在克里格法中是使用较广泛的一种方法.Kriging is central to geostatistics, a branch of applied statistics that deals with spatially distributed properties. Kriging is an exact interpolator; that is, kriging estimates are unbiased, so the expected value of the estimates is the same as the expected value of the observations. Perhaps most importantly, the error variances of kriging estimates are the minimum possible of any linear estimation method (such as Nearest-neighbor, IDW), and they can be estimated at every location where a kriging estimate is made. Ordinary Kriging is a wide used method within the family of Kriging.

关 键 词：普通克里格法 插值 变异函数 地统计学 

分 类 号：TP391.14[自动化与计算机技术—计算机应用技术]