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Geostatistics for Natural Resources Characterization

Published 1 January 1984
Georges Verly, Michel David, André G. Journel, Alain Maréchal
Citations309

Abstract

Variogram.- Improving the Estimation and Modelling of the Variogram.- Towards Resistant Statistical Inference of the Semivariogram and the Quadratic Model.- Use of the Jackknife Method to Estimate Autocorrelation Functions (or Variograms).- Computing Variograms in Folded Strata-Controlled Deposits.- Variogram and Kriging: Robust and Resistant Estimators.- Variogram and its Estimation.- Inference for Spatial Autocorrelation Functions.- Precision of Global Estimation.- Precision of Estimation of Recoverable Reserves: Notion of Conditional Estimation Variance.- Estimation Variance of Global Recoverable Reserve Estimates.- Combining Local Kriging Variances for Short-Term Mine Planning.- Application of a Geostatistical Method to Quantitatively Define Various Categories of Resources.- Kriging.- Conditional Bias in Kriging and a Suggested Correction.- Positive Kriging.- Correcting Conditional Bias.- mAD and Conditional Quantile Estimators.- Kriging Seismic Data in Presence of Faults.- Co-Kriging - New Developments.- Indicator Kriging.- Place of Non-Parametric Indicator Kriging as Applied to an Alluvial Gold Deposit.- Estimating Local Recoverable Reserves Via Indicator Kriging.- Conditional Recovery Estimation Through Probability Kriging - Theory and Practice.- Recoverable Reserves.- Recovery Estimation: A Review of Models and Methods.- Selectivity of the Distributions and The Second Principle of Geostatistics.- Local Estimation of the Recoverable Reserves: Comparing Various Methods with the Reality on a Porphyry Copper Deposit.- Isofactorial Models and Change of Support.- Geostatistical Application in Tabular Style Lead-Zinc Ore at Pine Point Canada.- Local Estimation of the Block Recovery Functions.- Block Distribution Given a Point Multivariate Normal Distribution.- Spectral Analysis and Data Analysis.- Three-Dimensional, Frequency-Domain Simulations of Geological Variables.- Factorial Kriging Analysis: A Substitute to Spectral Analysis of Magnetic Data.- Factorial Kriging Analysis of Regionalized Data. Its Application to Geochemical Prospecting.- Analysis of Second-Order Stationary Processes: Time Series Analysis, Spectral Analysis, Harmonic Analysis, and Geostatistics.

Keywords

Computer ScienceEngineeringEnvironmental Science