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空间分析的方法对于编制地质、地球物理以及地球化学等值线图以便帮助矿产资源评价来说是很有用的。应用统计方法评价区域性趋势及局部信号可以提供隐蔽矿床产出可能性的有用信息。可能的矿产资源评价的一个特定问题是估计在一个单元或一组单元属于图件上含有给定类型矿床的网格的概率。一般在区域性研究中,这种单元是边长为10或40公里的正方形,矿床数和金属或碳氢化合物的数量是从所有单元系统地测定的各个变量中得到的。在此项研究中重要的是将测定值的频数分布模拟成关于单元大小的函数,使用正交多项式以不同的形式来模拟单元数据的连续型和离散型随机变量。每一种模型都提供了一种定量表示绘制在地球科学图件上的岩石类型和矿床信息的准则,同时也提供了处理这些数据的实用方法。
Methods of spatial analysis are useful for compiling geological, geophysical, and geochemical contour maps to assist in mineral resource assessment. Applying statistical methods to assess regional trends and local signals can provide useful information about the potential for hidden mineral deposits. A particular problem with possible mineral resource evaluations is the estimation of the probability that a cell or group of cells belongs to a grid containing a given type of deposit on the map. Generally in regional studies, the unit is a square with sides of 10 or 40 kilometers. The number of deposits and the amount of metal or hydrocarbon are derived from the various variables systematically measured by all units. In this study, it is important to model the frequency distribution of measured values as a function of cell size, using orthogonal polynomials to simulate continuous and discrete random variables of the cell data in different forms. Each model provides a guideline that quantifies rock type and deposit information drawn on geoscience drawings and also provides a practical way to process the data.