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. 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 Praise for the first edition: "The authors (and programmers) should be applauded for this remarkable contribution to the research community."--Computers and GeosciencesClayton V. Deutsch is at Exxon Research Production Co.. Andre G. Journel is at Stanford University.