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MATLAB® Recipes for Earth Sciences

  • Textbook
  • © 2021

Overview

Authors:
  1. Martin H. Trauth

    1. Institute of Geosciences, University of Potsdam, Potsdam, Germany

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  • Provides a comprehensive introduction to the use of MATLAB for geoscientific applications
  • Includes information on new MATLAB features such as the Live Editor and App Designer
  • The code in the book can be easily translated into other popular programming languages like Python, Julia and R.

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Data Analysis in Earth Sciences

    • Martin H. Trauth
    Pages 1-8

  3. Introduction to MATLAB

    • Martin H. Trauth
    Pages 9-68

  4. Univariate Statistics

    • Martin H. Trauth
    Pages 69-144

  5. Bivariate Statistics

    • Martin H. Trauth
    Pages 145-175

  6. Time-Series Analysis

    • Martin H. Trauth
    Pages 177-257

  7. Signal Processing

    • Martin H. Trauth
    Pages 259-292

  8. Spatial Data

    • Martin H. Trauth
    Pages 293-363

  9. Image Processing

    • Martin H. Trauth
    Pages 365-438

  10. Multivariate Statistics

    • Martin H. Trauth
    Pages 439-489

  11. Directional Data

    • Martin H. Trauth
    Pages 491-517
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Keywords

About this book

MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.

Authors and Affiliations

  • Institute of Geosciences, University of Potsdam, Potsdam, Germany

    Martin H. Trauth

About the author

Martin H. Trauth studied geophysics and geology at the University of Karlsruhe. He obtained a doctoral degree from the University of Kiel in 1995 and then became a permanent member of the scientific staff at the University of Potsdam. Following his habilitation in 2003 he became a lecturer, and then in 2011 a titular professor at the University of Potsdam. Since 1990 he has worked on various aspects of past changes in the climates of East Africa and South America. His projects have aimed to understand the role of the tropics in terminating ice ages, the relationship between climatic changes and human evolution, and the influence that climate anomalies had on mass movements in the central Andes. Each of these projects has involved the use of MATLAB to apply numerical and statistical methods (such as time-series analysis and signal processing) to paleoclimate time series, lake-balance modeling, stochastic modeling of bioturbation, age-depth modeling of sedimentary sequences, or the processing of satellite and microscope images. Martin H. Trauth has been teaching a variety of courses on data analysis in earth sciences with MATLAB for more than 25 years, both at the University of Potsdam and at other universities around the world.

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