Applied geostatistics with SGeMS : a user's guide /

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"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. Thi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Remy, Nicolas, 1975-
Otros Autores: Boucher, Alexandre, Wu, Jianbing
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2009.
Temas:
SGeMS (Computer software)
Geological modeling > Computer simulation.
Geological modeling > Statistical methods.
Geology > Computer simulation.
Geology > Statistical methods.
Geology > Statistical methods > Software.
Modèles en géologie > Simulation par ordinateur.
Modèles en géologie > Méthodes statistiques.
Géologie > Simulation par ordinateur.
Géologie > Méthodes statistiques.
Géologie > Méthodes statistiques > Logiciels.
SCIENCE > Earth Sciences > General.
SCIENCE > Physics > Geophysics.
Programm
Anwendung
Geowissenschaften
Statistik
Anwendung.
Geowissenschaften.
Statistik.
Electronic books.
Software.
Acceso en línea:Texto completo
Descripción
Sumario:"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."
Notas:Some online versions lack accompanying media packaged with the printed version.
Descripción Física:1 online resource (xix, 264 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 254-259) and index.
ISBN:9781139150019
1139150014
9781139160971
1139160974
9781139159975
1139159976
9781139154376
1139154370
9781139158923
1139158929
1283340992
9781283340991
9781139157162
1139157167
1139155415
9781139155410
Acceso:Access restricted to Ryerson students, faculty and staff.

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