Overview
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 their implementation, 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 was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.
Full Product Details
Author: Nicolas Remy ,
Alexandre Boucher (Stanford University, California) ,
Jianbing Wu
Publisher: Cambridge University Press
Imprint: Cambridge University Press (Virtual Publishing)
ISBN: 9781139150019
ISBN 10: 1139150014
Publication Date: 05 November 2011
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Undefined
Publisher's Status: Active
Availability: Available To Order
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Reviews
Review of the hardback: 'At last: here is a publisher who has prepared a thoroughly practical and well presented guide to geostatistics together with software in a form which can be run by most on their own computer.' Geoscientist
Review of the hardback: 'At last: here is a publisher who has prepared a thoroughly practical and well presented guide to geostatistics together with software in a form which can be run by most on their own computer.' Geoscientist 'At last: here is a publisher who has prepared a thoroughly practical and well presented guide to geostatistics together with software in a form which can be run by most on their own computer.' Geoscientist feel that the book is useful as a user's manual for a resource analyst with some experience. - GSA I feel that the book is useful as a user's manual for a resource analyst with some experience... - Douglas F. Hambley, Environmental and Engineering Geoscience, May 2012
