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Collecting, Processing and Presenting Geoscientific Information

MATLAB® and Design Recipes for Earth Sciences
Sofort lieferbar | Lieferzeit:3-5 Tage I
Martin Trauth
587 g
241x159x22 mm

Comprehensive compilation about the presentation of scientific data
Scientific Information in Earth Sciences.- Searching and Reviewing Scientific Literature.- Internet Resources for Earth Science Data.- MATLAB as a Visualization Tool.- Visualizing Two-Dimensional Earth Science Data.- Visualizing Three-Dimensional Earth Science Data.- Processing and Displaying Images in Earth Sciences.- Editing Graphics, Text, and Tables.- Creating Conference Presentations.- Creating Conference Posters.- Creating Manuscripts, Flyers, and Books.
This second edition is an intensively revised and updated version of the book MATLAB® and Design Recipes for Earth Sciences. It aims 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 the book MATLAB Recipes for Earth Sciences-4rd 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 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.

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