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Geochemical Modelling of Igneous Processes – Principles And Recipes in R Language

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Cover of 'Geochemical Modelling of Igneous Processes – Principles And Recipes in R Language'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Data Manipulation and Simple Calculations
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    Chapter 3 Classical Plots
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    Chapter 4 Specialized Plots
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    Chapter 5 Radiogenic Isotopes
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    Chapter 6 Direct Models
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    Chapter 7 Reverse Models
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    Chapter 8 Forward Modelling in R
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    Chapter 9 Reverse Modelling in R
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    Chapter 10 Dilute Trace Elements: Partition Coefficients
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    Chapter 11 Direct (dilute) Trace-Element Models
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    Chapter 12 Reverse (dilute) Trace-Element Models
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    Chapter 13 Trace Elements as Essential Structural Constituents of Accessory Minerals: The Solubility Concept
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    Chapter 14 Forward Modelling in R
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    Chapter 15 Reverse Modelling in R
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    Chapter 16 Direct Models
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    Chapter 17 Reverse Models
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    Chapter 18 Forward Modelling in R
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    Chapter 19 Reverse Modelling in R
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    Chapter 20 Choosing an Appropriate Model
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    Chapter 21 Semi-Quantitative Geochemical Approach
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    Chapter 22 Constraining a Model
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    Chapter 23 Numerical Tips and Tricks
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    Chapter 24 Common Sense in Action
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    Chapter 25 Differentiation of a Calc-Alkaline Volcanic Series: Example of the Atacazo-Ninahuilca Volcanoes, Ecuador
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    Chapter 26 Progressive Melting of a Metasedimentary Sequence: the Saint-Malo Migmatitic Complex, France
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Title
Geochemical Modelling of Igneous Processes – Principles And Recipes in R Language
Published by
Springer Berlin Heidelberg, January 2016
DOI 10.1007/978-3-662-46792-3
ISBNs
978-3-66-246791-6, 978-3-66-246792-3
Authors

Janoušek, Vojtěch, Moyen, Jean-François, Martin, Hervé, Erban, Vojtěch, Farrow, Colin

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Bachelor 6 13%
Student > Doctoral Student 5 11%
Student > Master 5 11%
Other 4 9%
Other 8 17%
Unknown 9 19%
Readers by discipline Count As %
Earth and Planetary Sciences 24 51%
Unspecified 2 4%
Physics and Astronomy 2 4%
Environmental Science 1 2%
Engineering 1 2%
Other 0 0%
Unknown 17 36%