£113.63

Springer Geochemical Modelling of Igneous Processes - R Language

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Description

Unlock the potential of the R programming language for advanced geochemical research. This book is designed specifically for university students and researchers working with the whole-rock geochemistry of (meta-) igneous rocks. By bridging the gap between complex geological processes and computational power, it provides a practical guide to using freeware R for scientific analysis. The text moves from foundational skills to advanced modeling techniques. You will learn essential data management, including input/output procedures, the calculation of standard geochemical indexes, and effective plotting methods within the R environment. This foundation prepares you for the core focus of the book: implementing sophisticated modeling to identify geological processes. Readers gain hands-on experience with modeling techniques used for fingerprinting critical processes such as partial melting, fractional crystallization, binary mixing, and AFC. By utilizing major-element, trace-element, and radiogenic isotope data, this resource provides the theoretical base and practical implementation needed to advance your geochemical studies and research capabilities.

Key Features

Master R language fundamentals including data input, output, and essential geochemical index calculations for your research projects.

Learn professional plotting techniques in R to create high-quality visual representations of your geochemical data.

Implement advanced modeling techniques to fingerprint processes like partial melting and fractional crystallization.

Analyze complex geological data sets using major-element, trace-element, and radiogenic isotope information.

Gain practical experience with binary mixing and AFC modeling to better understand igneous rock evolution.

Bridge the gap between theoretical geochemistry and computational implementation using powerful freeware tools.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 October 2016
Listed Since
19 October 2016

Barcode

No barcode data available

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