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。
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 consider 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 estimation 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.
出处
《中南工业大学学报》
CSCD
北大核心
1999年第5期468-471,共4页
Journal of Central South University of Technology(Natural Science)
基金
国家自然科学基金
关键词
空间数据
数据搜索
因子协克立格法
矿山测量
spatial data
data searching
variogram function
Factorial Cokriging method
