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Applied geostatistics with SGeMS : a user's guide / Nicolas Remy, Alexandre Boucher and Jianbing Wu.

By: Contributor(s): Material type: TextTextPublication details: Cambridge, UK ; New York : Cambridge University Press, 2009.Description: 1 online resource (xix, 264 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139150019
  • 1139150014
  • 9781139160971
  • 1139160974
  • 9781139159975
  • 1139159976
  • 9781139154376
  • 1139154370
  • 9781139158923
  • 1139158929
  • 1283340992
  • 9781283340991
  • 9781139157162
  • 1139157167
  • 1139155415
  • 9781139155410
Subject(s): Genre/Form: Additional physical formats: Print version:: Applied geostatistics with SGeMS.DDC classification:
  • 550.72/7 22
LOC classification:
  • QE48.8 .R46 2009eb
Online resources:
Contents:
Introduction -- General overview -- Geostatistics : a recall of concepts -- Data sets and SGeMS EDA tools -- Variogram computation and modeling -- Common parameter input interfaces -- Estimation algorithms -- Stochastic simulation algorithms -- Utilities -- Scripting, commands and plug-ins.
Review: "The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates the implementation of the various algorithms, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS is the first software to provide algorithms for multiple-point statistics and the book presents an up-to-date discussion of the corresponding theory and applications."
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Some online versions lack accompanying media packaged with the printed version.

Includes bibliographical references (pages 254-259) and index.

Introduction -- General overview -- Geostatistics : a recall of concepts -- Data sets and SGeMS EDA tools -- Variogram computation and modeling -- Common parameter input interfaces -- Estimation algorithms -- Stochastic simulation algorithms -- Utilities -- Scripting, commands and plug-ins.

Print version record.

"The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates the implementation of the various algorithms, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS is the first software to provide algorithms for multiple-point statistics and the book presents an up-to-date discussion of the corresponding theory and applications."

Access restricted to Ryerson students, faculty and staff. CaOTR

English.

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