GSLIB: Geostatistical Software Library and User's Guide / Edition 2

GSLIB: Geostatistical Software Library and User's Guide / Edition 2

by Clayton V. Deutsch, Andre G. Journel
     
 

ISBN-10: 0195100158

ISBN-13: 9780195100150

Pub. Date: 08/21/1997

Publisher: Oxford University Press

This highly successful text, now in its second edition, has been extensively revised and expanded to cover new algorithms. The text, maintaining the no-nonsense, get-to-the-fact approach taken in the first edition, focuses on the needs of students, practitioners, and researchers. The source code has been simplified and expanded. The text includes advanced theory

Overview

This highly successful text, now in its second edition, has been extensively revised and expanded to cover new algorithms. The text, maintaining the no-nonsense, get-to-the-fact approach taken in the first edition, focuses on the needs of students, practitioners, and researchers. The source code has been simplified and expanded. The text includes advanced theory applications and practical notes. GSLIB can be used as a starting point for custom programs, advanced applications, and research. The code is presented in this edition on a CD-ROM.

Product Details

ISBN-13:
9780195100150
Publisher:
Oxford University Press
Publication date:
08/21/1997
Series:
Applied Geostatistics Series
Edition description:
REV
Pages:
384
Product dimensions:
9.30(w) x 6.40(h) x 1.00(d)

Table of Contents

I. Introduction
II. Getting Started
1. Geostatistical Concepts: A Review
2. GSLIB Conventions
3. Variogram Model Specifications
4. Search Strategies
5. Data Sets
6. Problem Set One: Data Analysis
III. Variograms
7. Measures of Spatial Variability
8. GSLIB Variogram Programs
9. Regularly Spaced Data
10. Irregularly Spaced Data
11. Variogram Maps
12. Application Notes
13. Problem Set Two: Variograms
IV. Kriging
14. Kriging with GSLIB
15. A Straightforward 2-D Kriging Problem
16. A Flexible 3-D Kriging Problem
17. Cokriging Problem
18. Application Notes
19. Problem Set Three: Kriging
20. Problem Set Four: Cokriging
21. Problem Set Five: Indicator Kriging
V. Simulation
22. Principles of Stochastic Simulation
23. Gaussian-Related Algorithms
24. Indicator-Based Algorithms
25. p-Field Simulation
26. Boolean Algorithms
27. Simulated Annealing
28. Gaussian Simulation Programs
29. Sequential Indicator Simulation Programs
30. A Boolean Simulation Program
31. Simulated Annealing Programs
32. Application Notes
33. Problem Set Six
VI. Other Useful Programs
34. PostScript Display
35. Utility Programs
Appendix A: Partial Solutions to Problem Sets
Appendix B: Software Installation
Appendix C: Programming conventions
Appendix D: Alphabetical Listing of Programs
Appendix E: List of Acronyms and Notations

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