论文部分内容阅读
地质统计学将区域化变量分为两类,一类是空间的实函数,诸如矿石品位、矿体厚度、累积量、密度等参数;而另一类却是空间的几何场,比如矿体的体积、面积及样品的支撑等。两者彼此相关,但在研究这两类变量时,自然采用不同的理论与方法。对于前者,采用内蕴理论,它是随机函数概念的具体应用,用概率进行表达,同时需要平稳假设(内蕴假设),用变异函数来描述变量的空间变化。而后者,我们却采用跃迁理论来研究,利用变程协方差函数来刻划它们空间的变化。这种理论在空间变量的正则化、金属量的总体估计以及确定矿体面积和体积等方面都有着广泛的应用。
Geostatistics divides regionalized variables into two categories, one is the real function of space, such as ore grade, ore body thickness, cumulant, density and other parameters; the other is the geometric field of space, such as ore body Volume, area and sample support and so on. The two are related to each other, but naturally different theories and methods are used in studying these two types of variables. For the former, using the theory of implication, it is the concrete application of the concept of stochastic function, which is represented by probability. At the same time, it needs the stationary hypothesis (intrinsic hypothesis) and uses the variogram to describe the spatial variation of variables. The latter, we use the transition theory to study, using the variogram covariance function to sculpt their changes in space. This theory is widely used in the regularization of spatial variables, the overall estimation of the amount of metal, and the determination of the area and volume of the ore body.