多元地质统计学的基本理论与方法

Basic Theory and Methods of Multivariate Geostatistics

研究多元地质统计学涉及以下方面的若干问题:(1)多元地质统计学的基本假设,包括:协同区域化变量、互变异函数、互协方差以及协同区域化变量的二阶平稳假设和内蕴假设;(2)协同区域化矩阵;(3)协同区域化的线性模型;(4)多元地质统计学的最佳估计方法,包括用协同克立格法对区域化变量的估计、空间分量的估计以及区域化因子的估计。

This paper studied some problems of multivariate geostatistics which involve four parts. 1, Bas;c hypothesis of multivariate geostatistics, include coregionalized variable, cross-variogram, cross-covariance, the statio-narity of order 2 and the intrinsic hypothesis of coregionalized variables; 2, coregionalization matrices; 3, Linear model of coregionalization; 4, The best estima ted methods for multivariate geostatistics include estimation of the regionalized variables with cokriging, estimation of the spatial components and estimation of the regionalized factors.