Books+ Search Results

Applied geostatistics with SGeMS : a user's guide

Title
Applied geostatistics with SGeMS : a user's guide / Nicolas Remy, Alexandre Boucher and Jianbing Wu.
ISBN
9781139150019
1139150014
9781139160971
1139160974
9781139159975
1139159976
9781139154376
1139154370
9781139158923
1139158929
1283340992
9781283340991
9781139157162
1139157167
9780521514149
0521514142
9786613340993
6613340995
1139155415
9781139155410
9781107403246
1107403243
Published
Cambridge, UK ; New York : Cambridge University Press, 2009.
Physical Description
1 online resource (xix, 264 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
Some online versions lack accompanying media packaged with the printed version.
English.
Access and use
Access restricted by licensing agreement.
Summary
"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."
Variant and related titles
Knovel. OCLC KB.
Other formats
Print version: Remy, Nicolas, 1975- Applied geostatistics with SGeMS. Cambridge, UK ; New York : Cambridge University Press, 2009
Format
Books / Online
Language
English
Added to Catalog
October 07, 2024
Bibliography
Includes bibliographical references (pages 254-259) and index.
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.
Genre/Form
Electronic books.
Software
Citation

Available from:

Online
Loading holdings.
Unable to load. Retry?
Loading holdings...
Unable to load. Retry?