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Geostatistics for Natural Resources Characterization

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Cover of 'Geostatistics for Natural Resources Characterization'

Table of Contents

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    Book Overview
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    Chapter 1 Improving the Estimation and Modelling of the Variogram
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    Chapter 2 Towards Resistant Geostatistics
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    Chapter 3 Statistical Inference of the Semivariogram and the Quadratic Model
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    Chapter 4 Use of the Jackknife Method to Estimate Autocorrelation Functions (or Variograms)
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    Chapter 5 Computing Variograms in Folded Strata-Controlled Deposits
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    Chapter 6 The Variogram and Kriging: Robust and Resistant Estimators
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    Chapter 7 The Variogram and its Estimation
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    Chapter 8 Inference for Spatial Autocorrelation Functions
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    Chapter 9 Precision of Estimation of Recoverable Reserves: The Notion of Conditional Estimation Variance
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    Chapter 10 Estimation Variance of Global Recoverable Reserve Estimates
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    Chapter 11 Combining Local Kriging Variances for Short-Term Mine Planning
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    Chapter 12 Application of a Geostatistical Method to Quantitatively Define Various Categories of Resources
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    Chapter 13 Conditional Bias in Kriging and a Suggested Correction
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    Chapter 14 Positive Kriging
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    Chapter 15 Correcting Conditional Bias
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    Chapter 16 mAD and Conditional Quantile Estimators
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    Chapter 17 Kriging Seismic Data in Presence of Faults
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    Chapter 18 Co-Kriging — New Developments
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    Chapter 19 The Place of Non-Parametric Geostatistics
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    Chapter 20 Indicator Kriging as Applied to an Alluvial Gold Deposit
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    Chapter 21 Estimating Local Recoverable Reserves Via Indicator Kriging
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    Chapter 22 Conditional Recovery Estimation Through Probability Kriging — Theory and Practice
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    Chapter 23 Recovery Estimation: A Review of Models and Methods
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    Chapter 24 The Selectivity of the Distributions and “The Second Principle of Geostatistics”
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    Chapter 25 Local Estimation of the Recoverable Reserves: Comparing Various Methods with the Reality on a Porphyry Copper Deposit
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    Chapter 26 Isofactorial Models and Change of Support
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    Chapter 27 Geostatistical Application in Tabular Style Lead-Zinc Ore at Pine Point Canada
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    Chapter 28 Local Estimation of the Block Recovery Functions
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    Chapter 29 The Block Distribution Given a Point Multivariate Normal Distribution
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    Chapter 30 Three-Dimensional, Frequency-Domain Simulations of Geological Variables
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    Chapter 31 Factorial Kriging Analysis: A Substitute to Spectral Analysis of Magnetic Data
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    Chapter 32 The Factorial Kriging Analysis of Regionalized Data. Its Application to Geochemical Prospecting
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    Chapter 33 The Analysis of Second-Order Stationary Processes: Time Series Analysis, Spectral Analysis, Harmonic Analysis, and Geostatistics
Overall attention for this book and its chapters
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Title
Geostatistics for Natural Resources Characterization
Published by
Springer Netherlands, November 2013
DOI 10.1007/978-94-009-3699-7
ISBNs
978-9-40-108157-3, 978-9-40-093699-7
Editors

Verly, Georges, David, Michel, Journel, Andre G., Marechal, Alain

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Iran, Islamic Republic of 1 3%
France 1 3%
Unknown 35 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 4 10%
Student > Master 4 10%
Professor > Associate Professor 2 5%
Professor 1 3%
Other 3 8%
Unknown 16 41%
Readers by discipline Count As %
Engineering 6 15%
Earth and Planetary Sciences 6 15%
Environmental Science 3 8%
Mathematics 2 5%
Medicine and Dentistry 2 5%
Other 3 8%
Unknown 17 44%