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MATLAB® and Design Recipes for Earth Sciences

How to Collect, Process and Present Geoscientific Information

Springer Berlin,
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This volume introduces students to each phase of a typical data analysis project in the earth sciences, from preliminary research through data processing in MATLAB to presenting the results. It features numerous examples and tips on using internet resources.


Titel: MATLAB® and Design Recipes for Earth Sciences
Autoren/Herausgeber: Martin H. Trauth, Elisabeth Sillmann
Ausgabe: 2013

ISBN/EAN: 9783642432682

Seitenzahl: 292
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 468 g
Sprache: Englisch

Martin Trauth, Universität Potsdam, Potsdam, Germany email: Elisabeth Sillmann, BlaetterwaldDesign, Landau, Germany email:

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, and oral presentations 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–3rd Edition (2010), 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 color versions of all figures, 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. - Newsletter
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