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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
Attention for Chapter 14: Forward Modelling in R
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Chapter title
Forward Modelling in R
Chapter number 14
Book 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_14
Book ISBNs
978-3-66-246791-6, 978-3-66-246792-3
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Earth and Planetary Sciences 1 100%