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

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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.
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Editorial Reviews

From the Publisher

Praise for the previous edition:

"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas Geological Survey

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Product Details

  • ISBN-13: 9780195100150
  • Publisher: Oxford University Press
  • Publication date: 8/21/1997
  • Series: Applied Geostatistics Series
  • Edition description: REV
  • Edition number: 2
  • Pages: 384
  • Sales rank: 1,188,593
  • Product dimensions: 9.30 (w) x 6.40 (h) x 1.00 (d)

Meet the Author

both at Stanford University
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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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