Geochemical Modelling of Igneous Processes – Principles And Recipes in R Language Bringing the Power of R to a Geochemical Community
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...
| Main Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | Springer Geochemistry
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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.