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  3. Applied Geostatistics with SGeMS
  • Cited by 530
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    • Publisher:
      Cambridge University Press
      Publication date:
      November 2011
      January 2009
      ISBN:
      9781139150019
      9781107403246
      DOI:
      https://doi.org/10.1017/CBO9781139150019
      Dimensions:
      Weight & Pages:
      Dimensions:
      (244 x 170 mm)
      Weight & Pages:
      0.46kg, 286 Pages
      • Subjects:
      Earth and Environmental Sciences, Solid Earth Geophysics, Hydrology, Hydrogeology and Water Resources
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    • Selected: Digital
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    Subjects:
    Earth and Environmental Sciences, Solid Earth Geophysics, Hydrology, Hydrogeology and Water Resources
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    Book description

    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.

    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.'

    Source: Geoscientist

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