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Geochemical modelling of igneous processes - principles and recipes in R language = bringing the power of R to a geochemical community /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Geochemical modelling of igneous processes - principles and recipes in R language/ by Vojtech Janousek ... [et al.].
Reminder of title:	bringing the power of R to a geochemical community /
other author:	Janousek, Vojtech.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
Description:	xxviii, 346 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Geochemical modeling. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-46792-3
ISBN:	9783662467923

Geochemical modelling of igneous processes - principles and recipes in R language = bringing the power of R to a geochemical community /
Geochemical modelling of igneous processes - principles and recipes in R languagebringing the power of R to a geochemical community /[electronic resource] :by Vojtech Janousek ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xxviii, 346 p. :ill., digital ;24 cm. - Springer geochemistry. - Springer geochemistry..

1 Introduction -- Part I R/GCDkit at work -- 2 Data manipulation and simple calculations -- 3 Classical plots -- 4 Specialized plots -- 5 Radiogenic isotopes -- Part II Modelling major elements -- 6 Direct models -- 7 Reverse models -- 8 Forward modelling in R -- 9 Reverse modelling in R -- Part III Modelling trace elements -- 10 Dilute trace elements: partition coefficients -- 11 Direct (dilute) trace-element models -- 12 Reverse (dilute) trace-element models -- 13 Trace elements as essential structural constituents of accessory minerals: the solubility concept -- 14 Forward modelling in R -- 15 Reverse modelling in R -- Part IV Radiogenic isotopes -- 16 Direct models -- 17 Reverse models -- 18 Forward modelling in R -- 19 Reverse modelling in R -- Part V Practical modelling -- 20 Choosing an appropriate model -- 21 Semi-quantitative geochemical approach -- 22 Constraining a model -- 23 Numerical tips and tricks -- 24 Common sense in action -- Part VI Worked examples -- 25 Differentiation of a calc-alkaline volcanic series: example of the Atacazo-Ninahuilca volcanoes, Ecuador -- 26 Progressive melting of a metasedimentary sequence: the Saint-Malo migmatitic complex, France -- Appendix I R syntax in a nutshell -- Appendix II Introduction to GCDkit -- Appendix III Solving systems of linear algebraic equations in R.

The aim of this book is to unlock the power of the freeware R language to advanced university students and researchers dealing with whole-rock geochemistry of (meta-) igneous rocks. The first part covers data input/output, calculation of commonly used indexes and plotting in R. The core of the book then focusses on the presentation and practical implementations of modelling techniques used for fingerprinting processes such as partial melting, fractional crystallization, binary mixing or AFC using major-, trace-element and radiogenic isotope data. The reader will be given a firm theoretical basis for forward/reverse modelling, followed by exercises dealing with typical problems likely to be encountered in real life, and their solutions using R. The concluding sections demonstrate, using practical examples, how a researcher can proceed in developing a realistic model simulating natural systems. The appendices outline the fundamentals of the R language and provide a quick introduction to the open-source R-package GCDkit for Interpretation of whole-rock geochemical data from igneous and metamorphic rocks.

ISBN: 9783662467923

Standard No.: 10.1007/978-3-662-46792-3doiSubjects--Topical Terms:

1102360
Geochemical modeling.

LC Class. No.: QE515.5.G43

Dewey Class. No.: 551.9

Geochemical modelling of igneous processes - principles and recipes in R language = bringing the power of R to a geochemical community /
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505 0 $a 1 Introduction -- Part I R/GCDkit at work -- 2 Data manipulation and simple calculations -- 3 Classical plots -- 4 Specialized plots -- 5 Radiogenic isotopes -- Part II Modelling major elements -- 6 Direct models -- 7 Reverse models -- 8 Forward modelling in R -- 9 Reverse modelling in R -- Part III Modelling trace elements -- 10 Dilute trace elements: partition coefficients -- 11 Direct (dilute) trace-element models -- 12 Reverse (dilute) trace-element models -- 13 Trace elements as essential structural constituents of accessory minerals: the solubility concept -- 14 Forward modelling in R -- 15 Reverse modelling in R -- Part IV Radiogenic isotopes -- 16 Direct models -- 17 Reverse models -- 18 Forward modelling in R -- 19 Reverse modelling in R -- Part V Practical modelling -- 20 Choosing an appropriate model -- 21 Semi-quantitative geochemical approach -- 22 Constraining a model -- 23 Numerical tips and tricks -- 24 Common sense in action -- Part VI Worked examples -- 25 Differentiation of a calc-alkaline volcanic series: example of the Atacazo-Ninahuilca volcanoes, Ecuador -- 26 Progressive melting of a metasedimentary sequence: the Saint-Malo migmatitic complex, France -- Appendix I R syntax in a nutshell -- Appendix II Introduction to GCDkit -- Appendix III Solving systems of linear algebraic equations in R.
520 $a The aim of this book is to unlock the power of the freeware R language to advanced university students and researchers dealing with whole-rock geochemistry of (meta-) igneous rocks. The first part covers data input/output, calculation of commonly used indexes and plotting in R. The core of the book then focusses on the presentation and practical implementations of modelling techniques used for fingerprinting processes such as partial melting, fractional crystallization, binary mixing or AFC using major-, trace-element and radiogenic isotope data. The reader will be given a firm theoretical basis for forward/reverse modelling, followed by exercises dealing with typical problems likely to be encountered in real life, and their solutions using R. The concluding sections demonstrate, using practical examples, how a researcher can proceed in developing a realistic model simulating natural systems. The appendices outline the fundamentals of the R language and provide a quick introduction to the open-source R-package GCDkit for Interpretation of whole-rock geochemical data from igneous and metamorphic rocks.
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