TY  - BOOK
AU  - Remy,Nicolas
AU  - Boucher,Alexandre
AU  - Wu,Jianbing
TI  - Applied geostatistics with SGeMS: a user's guide 
SN  - 9781139150019
AV  - QE48.8 .R46 2009eb
U1  - 550.72/7 22
PY  - 2009///
CY  - Cambridge, UK, New York
PB  - Cambridge University Press
KW  - SGeMS (Computer software)
KW  - fast
KW  - Geological modeling
KW  - Computer simulation
KW  - Statistical methods
KW  - Geology
KW  - Software
KW  - Modèles en géologie
KW  - Simulation par ordinateur
KW  - Méthodes statistiques
KW  - Géologie
KW  - Logiciels
KW  - SCIENCE
KW  - Earth Sciences
KW  - General
KW  - bisacsh
KW  - Physics
KW  - Geophysics
KW  - Programm
KW  - gnd
KW  - Anwendung
KW  - Geowissenschaften
KW  - Statistik
KW  - Electronic books
N1  - 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; Access restricted to Ryerson students, faculty and staff
N2  - "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."
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=408815
ER  -