Geostatistics for Natural Resources Characterization

Inhaltsverzeichnis

• Variogram.
• Improving the Estimation and Modelling of the Variogram.
• Towards Resistant Geostatistics.
• 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.
• The Variogram and Kriging: Robust and Resistant Estimators.
• The Variogram and its Estimation.
• Inference for Spatial Autocorrelation Functions.
• Precision of Global Estimation.
• Precision of Estimation of Recoverable Reserves: The 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.
• The Place of Non-Parametric Geostatistics.
• 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.
• The 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.
• The BlockDistribution 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.
• The Factorial Kriging Analysis of Regionalized Data. Its Application to Geochemical Prospecting.
• The Analysis of Second-Order Stationary Processes: Time Series Analysis, Spectral Analysis, Harmonic Analysis, and Geostatistics.