£112.57

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£113 today · all-time low £108 (Jul 2026) · usually £112

Springer Geochemical Modelling Igneous Processes - R Language Guide

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Description

Unlock the power of R programming for geochemical analysis with this comprehensive guide designed for advanced university students and researchers studying whole-rock geochemistry of igneous and meta-igneous rocks. This Springer Geochemistry book covers essential foundations including data input and output, calculation of commonly used geochemical indexes, and advanced plotting techniques within the R environment. The core chapters focus on practical implementations of modelling techniques used to fingerprint geological processes such as partial melting, fractional crystallization, binary mixing, and AFC (assimilation and fractional crystallization) modelling. Work confidently with major-element data, trace-element data, and radiogenic isotope data to interpret complex geochemical processes. This resource bridges the gap between theoretical geochemistry and practical computational methods, providing hands-on recipes and workflows that geochemists can apply immediately to their own research datasets.

Key Features

Covers data input, output, and manipulation within R specifically tailored for geochemical datasets and whole-rock analysis.

Teaches calculation of standard geochemical indexes and indices commonly used in igneous rock classification and interpretation.

Includes advanced plotting and visualization techniques in R to present geochemical data effectively.

Demonstrates modelling of partial melting and fractional crystallization processes using major and trace element data.

Provides practical recipes for binary mixing calculations and AFC modelling with radiogenic isotope data.

Written by Springer, a trusted academic publisher with expertise in geochemistry and earth sciences education.

Designed for advanced students and research professionals seeking computational skills in geochemical fingerprinting.

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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