Applied geostatistics with SGeMS: a user's guide
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 prac...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2009
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xix, 264 pages) |
| ISBN: | 9781139150019 |
| DOI: | 10.1017/CBO9781139150019 |
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| 505 | 8 | |a 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 | |
| 520 | |a 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 | ||
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Datensatz im Suchindex
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| author | Remy, Nicolas 1975- |
| author_facet | Remy, Nicolas 1975- |
| author_role | aut |
| author_sort | Remy, Nicolas 1975- |
| author_variant | n r nr |
| building | Verbundindex |
| bvnumber | BV043945518 |
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| 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 |
| ctrlnum | (ZDB-20-CBO)CR9781139150019 (OCoLC)859642832 (DE-599)BVBBV043945518 |
| dewey-full | 550.72/7 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 550 - Earth sciences |
| dewey-raw | 550.72/7 |
| dewey-search | 550.72/7 |
| dewey-sort | 3550.72 17 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie |
| doi_str_mv | 10.1017/CBO9781139150019 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:23Z |
| institution | BVB |
| isbn | 9781139150019 |
| language | English |
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| spelling | Remy, Nicolas 1975- Verfasser aut Applied geostatistics with SGeMS a user's guide Nicolas Remy, Alexandre Boucher and Jianbing Wu Cambridge Cambridge University Press 2009 1 online resource (xix, 264 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 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 SGeMS (Computer software) Geologie Geological modeling / Computer simulation Geological modeling / Statistical methods Geology / Computer simulation Geology / Statistical methods Geology / Statistical methods / Software Boucher, Alexandre Sonstige oth Wu, Jianbing Sonstige oth Erscheint auch als Druckausgabe 978-0-521-51414-9 Erscheint auch als Druckausgabe 978-1-107-40324-6 https://doi.org/10.1017/CBO9781139150019 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Remy, Nicolas 1975- Applied geostatistics with SGeMS a user's guide 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 SGeMS (Computer software) Geologie Geological modeling / Computer simulation Geological modeling / Statistical methods Geology / Computer simulation Geology / Statistical methods Geology / Statistical methods / Software |
| title | Applied geostatistics with SGeMS a user's guide |
| title_auth | Applied geostatistics with SGeMS a user's guide |
| title_exact_search | Applied geostatistics with SGeMS a user's guide |
| title_full | Applied geostatistics with SGeMS a user's guide Nicolas Remy, Alexandre Boucher and Jianbing Wu |
| title_fullStr | Applied geostatistics with SGeMS a user's guide Nicolas Remy, Alexandre Boucher and Jianbing Wu |
| title_full_unstemmed | Applied geostatistics with SGeMS a user's guide Nicolas Remy, Alexandre Boucher and Jianbing Wu |
| title_short | Applied geostatistics with SGeMS |
| title_sort | applied geostatistics with sgems a user s guide |
| title_sub | a user's guide |
| topic | SGeMS (Computer software) Geologie Geological modeling / Computer simulation Geological modeling / Statistical methods Geology / Computer simulation Geology / Statistical methods Geology / Statistical methods / Software |
| topic_facet | SGeMS (Computer software) Geologie Geological modeling / Computer simulation Geological modeling / Statistical methods Geology / Computer simulation Geology / Statistical methods Geology / Statistical methods / Software |
| url | https://doi.org/10.1017/CBO9781139150019 |
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