| 000 | 02941nam a22004218i 4500 | ||
|---|---|---|---|
| 001 | CR9781139150019 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160327.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 110830s2009||||enk o ||1 0|eng|d | ||
| 020 | _a9781139150019 (ebook) | ||
| 020 | _z9780521514149 (hardback) | ||
| 020 | _z9781107403246 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQE48.8 _b.R46 2009 |
| 082 | 0 | 0 |
_a550.72/7 _222 |
| 100 | 1 |
_aRemy, Nicolas, _d1975- _eauthor. |
|
| 245 | 1 | 0 |
_aApplied geostatistics with SGeMS : _ba user's guide / _cNicolas Remy, Alexandre Boucher and Jianbing Wu. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2009. |
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| 300 |
_a1 online resource (xix, 264 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | _aIntroduction -- 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 | _aThe 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. | ||
| 630 | 0 | 0 | _aSGeMS (Computer software) |
| 650 | 0 |
_aGeological modeling _xComputer simulation. |
|
| 650 | 0 |
_aGeological modeling _xStatistical methods. |
|
| 650 | 0 |
_aGeology _xComputer simulation. |
|
| 650 | 0 |
_aGeology _xStatistical methods. |
|
| 650 | 0 |
_aGeology _xStatistical methods _vSoftware. |
|
| 700 | 1 |
_aBoucher, Alexandre, _eauthor. |
|
| 700 | 1 |
_aWu, Jianbing, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9780521514149 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9781139150019 |
| 999 |
_c522301 _d522299 |
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