矿山空间数据的处理方法及其应用

来源期刊：中南大学学报(自然科学版)1999年第5期

论文作者：古德生 陈建宏

文章页码：468 - 471

关键词：空间数据;数据搜索;变异函数;因子协克立格法

Key words：spatial data; data searching; variogram function; Factorial Cokriging method

摘    要：通过研究，认为矿山空间数据来源于连 续模型和非连续模型2种，对空间数据的处理应该同时在特征空间和采样空间中进行，既要考虑研究对象在特征空间的变异性，又要兼顾它在采样空间中的连续性；此外，根据矿山空间数 据的变异特性，研究了空间数据的搜索方法及其对数据估值的影响，得出了相应的数据搜索方法；通过对多元矿山空间数据的结构分析，得出了一个基于因子协克立 格法的二重套合结构模型，并以汤丹铜矿为例进行了验证

Abstract: It is thought that mine spatial data come from two methods of continuous model and random model. Processing or describing the spatial data must be in character dimension and sampling dimension at the same time. It is important to con-sider studying object variability in character dimension and consider its spatial continuity in sampling dimension as well. In addition, based on the variability of mine spatial datas, many spatial data searching methods and their influence on es-timation has been studied, and a series of spatial data searching methods have been presented. For the structure analysis of the multi-spatial data, this paper presentst two-cover structure model based on Factorial Cokriging method. Also an application example for Tandan Copper Mine is given.