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GSLIB: Geostatistical Software Library and User's Guide (Applied Geostatistics)
 
 
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GSLIB: Geostatistical Software Library and User's Guide (Applied Geostatistics) [Hardcover]

Clayton V. Deutsch (Author), Andrï¿1/2 G. Journel (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0195100158 978-0195100150 August 21, 1997 2
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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GSLIB: Geostatistical Software Library and User's Guide (Applied Geostatistics) + An Introduction to Applied Geostatistics + Geostatistics for Natural Resources Evaluation (Applied Geostatistics Series)
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Editorial Reviews

Review


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


About the Author

Clayton V. Deutsch is at Exxon Research Production Co.. Andre G. Journel is at Stanford University.

Product Details

  • Hardcover: 384 pages
  • Publisher: Oxford University Press, USA; 2 edition (August 21, 1997)
  • Language: English
  • ISBN-10: 0195100158
  • ISBN-13: 978-0195100150
  • Product Dimensions: 9.3 x 6.3 x 1 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #997,548 in Books (See Top 100 in Books)

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23 of 23 people found the following review helpful:
5.0 out of 5 stars GSLIB--Powerful tools for power users, April 18, 2000
This review is from: GSLIB: Geostatistical Software Library and User's Guide (Applied Geostatistics) (Hardcover)
This is definitely not a book for the faint-of-mathematical-heart. As the title indicates, this is a user's manual for the GSLIB software (which is included on CD-ROM), and it includes discussions of all the supporting statistical mathematics. This makes the book invaluable to the user who is already well-grounded in statistics, and difficult to follow for the rest. There are very few lifelines to pull non-statisticians out of the jargon mire.

Nevertheless, if you're well-versed (and you probably are if you're considering purchasing this software), this is one heck of a powerful set of tools. The software includes a Kriging smorgasbord, simulation, variography, display tools, and is self-contained with few exceptions. The software is platform-independent, requiring only a Fortran compiler. All routines are written for Fortran77, and are uncompiled. I found the software user manual to be useful, well thought out, and complete.

A powerful tool at a bargain price!

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Inside This Book (learn more)
First Sentence:
GSLIB is the name of a directory containing the geostatistical software developed at Stanford. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
example parameter file, minimum horizontal range, implements linear interpolation, trimming limits, program nscore, search ellipsoid, variogram programs, cokriging program, ccdf values, limit zmax, external drift variable, normal score data, univariate ccdf, cycling fastest, calibration scattergram, grid node separation, indicator variogram models, isotropic spherical variogram, program sgsim, declustered histogram, variogram type, declustered mean, minimum horizontal direction, nested structures one, variogram output
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Distance Figure, Geostatistical Toolbox, Monte Carlo
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