克立格法是地质统计学的一种基本方法，在非平稳物化探数据处理中经常用到泛克立格方法。
Kriging is a basic method in geostatistics. It is often used in geophysical and geochemical data processing.
指示克立格是一种非参数统计方法，它能在不舍弃特异值的条件下进行有效的空间估计。
Indicator Kriging is a nonparametric statistical method which can make spatial estimation without abandoning peculiar value of reservoir parameters.
克立格法是三维空间插值的主要方法之一，目前已广泛应用于矿体储量计算过程中。
Kriging is one of the three dimensional interpolation methods and is now widely used in orebody reserve calculation.
研究了多边形法、距离幂反比法以及克立格法三种品位建模方法，并且给出了三种建模方法的计算公式。
Studied three kinds of grade modelling methods that are polygon method, distance power inverse ratio method, kriging method, and presented their computational formula.
方法通过建立估值点周围邻域点间空间分布权系数的函数，确定参与克立格估值计算的邻域点。
In order to optimize the algorithm of selecting Kriging neighborhood points, this paper introduces a new algorithm based on space distribution weight coefficient.
地统计学的基础理论与方法主要包括：区域化变量、半方差函数、克立格空间插值技术。
The geostatistics's basic theories and techniques include the regionalized variables, the semivariance function and Kriging Interpolation.
杨赤中法与克立格法，都是对空间域变量进行估计的方法。
Both Yang Chizhong method and Kriging can be used to estimate any variable distributed in space field.
克立格法具有原理简单、计算方便等优点，它开辟了一条不同于一般最小二乘配置的预测方法。
The advantages of Kriging method are simple in principle and convenient to computation. It gives a different estimation method from least square collocation.
在实验尺度下的比较结果表明，普通克立格法是研究地下水污染物浓度空间分布的最优估值方法。
The results in the scale of experiments show that ordinary Kriging method is the optimum method for estimating the spatial distribution of the contamination concentration in ground...
同时，普通克立格法与传统航空物探数据内插方法——三次样条函数法所得的表面预测图相似。
The prediction surface that Ordinary Kriging created and the surface that three-splinecreated are very similar.
同时，普通克立格法与传统航空物探数据内插方法——三次样条函数法所得的表面预测图相似。
The prediction surface that Ordinary Kriging created and the surface that three-splinecreated are very similar.
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