© 2018

Collecting, Processing and Presenting Geoscientific Information

MATLAB® and Design Recipes for Earth Sciences


Table of contents

  1. Front Matter
    Pages i-xiii
  2. Martin H. Trauth, Elisabeth Sillmann
    Pages 1-14
  3. Martin H. Trauth, Elisabeth Sillmann
    Pages 15-40
  4. Martin H. Trauth, Elisabeth Sillmann
    Pages 41-60
  5. Martin H. Trauth, Elisabeth Sillmann
    Pages 61-97
  6. Martin H. Trauth, Elisabeth Sillmann
    Pages 99-118
  7. Martin H. Trauth, Elisabeth Sillmann
    Pages 119-142
  8. Martin H. Trauth, Elisabeth Sillmann
    Pages 143-167
  9. Martin H. Trauth, Elisabeth Sillmann
    Pages 169-196
  10. Martin H. Trauth, Elisabeth Sillmann
    Pages 197-214
  11. Martin H. Trauth, Elisabeth Sillmann
    Pages 215-226
  12. Martin H. Trauth, Elisabeth Sillmann
    Pages 227-260
  13. Martin H. Trauth, Elisabeth Sillmann
    Pages 261-274

About this book


The overall aim of the book is to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, oral presentations and multimedia publications using graphics design software.

The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with its sister book MATLAB Recipes for Earth Sciences–4th Edition (2015), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.

System requirements

Users of this book will require the MATLAB® software, which is available for Windows, Mac OS X and Linux. The M-files and example data available online through Springer Extras should run on all platforms without requiring any modification. For this edition we have used MATLAB Version 9 (Release 2017a), the Image Processing Toolbox Version 10.0, the Mapping Toolbox Version 4.5 and the Simulink 3D Animation Toolbox Version 7.7. Furthermore, we used the Adobe Creative Cloud 2017 including Acrobat, Illustrator, Photoshop and Audition.

MATLAB® and Simulink® are registered trademarks of The MathWorks, Inc.

For MATLAB and Simulink product information, please contact:

The MathWorks, Inc.

3 Apple Hill Drive

Natick, MA, 01760-2098 USA Tel: 508-647-7000

Fax: 508-647-7001



How to buy:


MATLAB scripts Data Visualization Scientific presentations Scientific writing Oral presentations scientific information processing earth science informatics

Authors and affiliations

  1. 1.Institute of Earth and Environmental ScienceUniversity of PotsdamPotsdamGermany
  2. 2.BlaetterwaldDesignScientific PublicationsLandauGermany

About the authors

Martin H. Trauth was born in Landau in der Pfalz in 1963 and 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 an adjunct professor, at the University of Potsdam. Since 1990 he has worked on various aspects of historical 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 timeseries 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 for more twenty years, both at the University of Potsdam and at other universities around the world.

Bibliographic information

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