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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >A comparison of indirect lognormal and discrete Gaussian change of support methods for various variogram estimators
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A comparison of indirect lognormal and discrete Gaussian change of support methods for various variogram estimators

机译：各种变型估计器支持方法的间接逻辑和离散高斯变化的比较

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摘要

In mineral resource evaluations, geostatistical methods known as global change of support allow prediction of the theoretical histogram and grade-tonnage curves prior to interpolations or simulations of grades. Two methods commonly used by professionals to guide the choice of interpolation parameters and assess results are the discrete Gaussian model (DGM) and the indirect lognormal correction (IndLog). These models rely upon an estimate of the dispersion variance of the blocks, which is derived by numerical integration of the variogram model over a discretized block. Due to difficulties in obtaining well-formed traditional experimental variograms (especially in the presence of outliers and limited clustered data), many professionals prefer to use 'normalized' variograms such as correlogram (non-ergodic variogram), pairwise-relative, or variogram of the normal score transform. A series of simulations with different grade distributions and variogram models are used to assess the performances and robustness of the various variogram estimators with respect to the DGM and IndLog global change of support. Our results show that the traditional variogram, the correlogram, and normal score variogram have better performances, compared to pairwise, for both DGM and IndLog, Moreover, DGM provided better results than IndLog for the grade distributions that are not strictly lognormal. These findings provide valuable guides for geostatistics practitioners.
机译：在矿产资源评估中，称为全局支持的地统计学方法允许在分析或模拟等级之前预测理论直方图和等级吨位曲线。专业人员通常使用的两种方法来指导插值参数的选择和评估结果是离散高斯模型（DGM）和间接逻辑正式校正（Indlog）。这些模型依赖于块的色散方差的估计，这是通过在离散块上通过变形仪模型的数值积分来导出的。由于难以获得形成良好的传统实验变动仪（特别是在异常值和有限的集群数据的情况下），许多专业人员更喜欢使用“归一化”的变速仪，例如相关图（非er-ergodic变速仪），成对相对或变形仪正常分数变换。具有不同等级分布和变形仪模型的一系列模拟用于评估各种变型仪估计值关于DGM和Indlog全局支持的性能和鲁棒性。我们的研究结果表明，传统的变速仪，相关图和正常得分变速仪具有更好的性能，而对于成对，对于DGM和Indlog，DGM提供比不严格逻辑的等级分布的Indlog更好的结果。这些调查结果为地统计算法员提供了有价值的指南。

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