【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.更多还原

【Abstract】 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.更多还原