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Journal of Mining and Environment، جلد ۱۶، شماره ۱، صفحات ۱-۱۳
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عنوان انگلیسی Grade Estimation Through the Gaussian Copulas: A Case Study
چکیده انگلیسی مقاله Mineral Resources have commonly been estimated through the kriging method that assigns weights to the samples based on variogram distance to the estimation point without considering their values.  More robust estimators such as spatial copulas are promising tools because they consider both distance and sample values in determining weights. The purpose of this study is to demonstrate the effectiveness of the Gaussian copulas (GC) by estimating the copper grade values in the Sungun porphyry copper deposit located in Iran. Performance of the method was compared to ordinary kriging (OK) and indicator kriging (IK) by running the Jackknife test of cross-validation. The metrics used in measuring performance of the methods are global accuracy and precision of the distribution of the estimates, error statistics, and variability for globally accurate and precise estimates. The case study shows advantages of GC over OK and IK by producing globally accurate and precise estimates with acceptable error statistics and variability. 
کلیدواژه‌های انگلیسی مقاله Gaussian copula,Indicator kriging,Jackknife test,Ordinary Kriging,Porphyry Copper Deposit
نویسندگان مقاله Babak Sohrabian |
Associate Professor, Department of Mining Engineering, Faculty of Environment, Urmia University of Technology, Urmia, Iran

Abdullah Erhan Tercan |
Professor, Department of Mining Engineering, Hacettepe University, Ankara, Turkey

نشانی اینترنتی https://jme.shahroodut.ac.ir/article_3191_a92c31d09a6cb4ee65a7dca1a7521df8.pdf
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