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010   $a9786613340993
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035   $a(EBL)807147
035   $a(OCoLC)763159186
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035   $a(PQKBTitleCode)TC0000550932
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035   $a(UkCbUP)CR9781139150019
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100   $a20110830d2009||||  uy|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied geostatistics with SGeMS $ea user's guide /$fNicolas Remy, Alexandre Boucher and Jianbing Wu
210  1$aCambridge :$cCambridge University Press,$d2009.
215   $a1 online resource (xix, 264 pages) $cdigital, PDF file(s)
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
311 08$a1-107-40324-3 
311 08$a0-521-51414-2 
320   $aIncludes bibliographical references and index.
327   $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.
330   $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.
606   $aGeological modeling$xComputer simulation
606   $aGeological modeling$xStatistical methods
606   $aGeology$xComputer simulation
606   $aGeology$xStatistical methods
606   $aGeology$xStatistical methods$vSoftware
615  0$aGeological modeling$xComputer simulation.
615  0$aGeological modeling$xStatistical methods.
615  0$aGeology$xComputer simulation.
615  0$aGeology$xStatistical methods.
615  0$aGeology$xStatistical methods
676   $a550.72/7
700   $aRemy$b Nicolas$f1975-$01823984
702   $aBoucher$b Alexandre
702   $aWu$b Jianbing
801  0$bUkCbUP
801  1$bUkCbUP
906   $aBOOK
912   $a9911006576403321
996   $aApplied geostatistics with SGeMS$94425577
997   $aUNINA