GSLIB

GSLIB : Geostatistical Software Library and User's Guide

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Description

Geostatistics is the statistical study of phenomena that fluctuate in space and time. The original objective of the field was to improve forecasting for ore grades and reserves, but the mathematical generality of the approach has led to the application of geostatistics to other areas. GSLIB provides a source code that can be used as a starting point for custom program, advanced applications, and research. This new second edition is aimed at students, practitioners, and researchers who need powerful, flexible, and documented programs that are not confined to user-friendly menus. The book has been extensively revised and updated, and will include two MS-DOS disks, as in the First Edition. It offers the most advanced methods in the field, including co-kriging and conditional simulations, all developed in three-dimensions, and that can be run on any kind of computer. The package includes the GSLIB users guide and the programs on two disks.show more

Product details

  • Mixed media product | 384 pages
  • 160 x 236.2 x 25.4mm | 657.72g
  • Oxford University Press Inc
  • New York, United States
  • English
  • Revised
  • 2nd Revised edition
  • numerous halftones, line figures and tables, + disk
  • 0195100158
  • 9780195100150
  • 1,027,697

Review quote

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 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 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 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 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 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."--KansasGeological Surveyshow more

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: Simulation ; 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 Notationsshow more