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Basic linear geostatistics.

By: Material type: TextTextPublication details: Berlin ; New York : Springer, c1998.Description: xi, 153 p. : illISBN:
  • 9783540618454
  • 9783642587276
  • 3540618457 (pbk.)
Subject(s): DDC classification:
  • 622 ARM
Online resources:
Contents:
1. Introduction 2. Regionalized Variables 3. The Variogram 4. Experimental Variograms 5. Structural Analysis 6. Dispersion as a Function of Block Size 7. The Theory of Kriging 8. Practical Aspects of Kriging 9. Case Study using Kriging 10. Estimating the Total Reserves App. 1. Review of Basic Maths Concepts App. 2. Due Diligence and its Implications
Summary: Linear Geostatistics covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an indepth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications. It is assumed that readers, students and professionals alike, are familiar with basic probability and statistics, and matrix algebra needed for solving linear systems. Some reminders on these are given in an appendix at the end of the book. A set of exercises is integrated into the text
List(s) this item appears in: New books
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library Reference Reference 622 ARM (Browse shelf(Opens below)) Available 016735
Total holds: 0

1. Introduction
2. Regionalized Variables
3. The Variogram
4. Experimental Variograms
5. Structural Analysis
6. Dispersion as a Function of Block Size
7. The Theory of Kriging
8. Practical Aspects of Kriging
9. Case Study using Kriging
10. Estimating the Total Reserves
App. 1. Review of Basic Maths Concepts
App. 2. Due Diligence and its Implications

Linear Geostatistics covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an indepth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications. It is assumed that readers, students and professionals alike, are familiar with basic probability and statistics, and matrix algebra needed for solving linear systems. Some reminders on these are given in an appendix at the end of the book. A set of exercises is integrated into the text

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