Overview
- Comprehensive compilation about the presentation of scientific data
- Provides recipe-based solutions to prepare scientific presentations
- Contains numerous examples on how to process geoscientific information
- Based on mixed open-source and professional tools widely available and very popular
Part of the book series: Springer Textbooks in Earth Sciences, Geography and Environment (STEGE)
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Table of contents (12 chapters)
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Front Matter
Keywords
About this book
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.
Authors and Affiliations
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
Book Title: Collecting, Processing and Presenting Geoscientific Information
Book Subtitle: MATLAB® and Design Recipes for Earth Sciences
Authors: Martin H. Trauth, Elisabeth Sillmann
Series Title: Springer Textbooks in Earth Sciences, Geography and Environment
DOI: https://doi.org/10.1007/978-3-662-56203-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2018
Hardcover ISBN: 978-3-662-56202-4Published: 06 April 2018
Softcover ISBN: 978-3-662-58572-6Published: 01 February 2019
eBook ISBN: 978-3-662-56203-1Published: 26 March 2018
Series ISSN: 2510-1307
Series E-ISSN: 2510-1315
Edition Number: 2
Number of Pages: XIII, 274
Number of Illustrations: 5 b/w illustrations, 48 illustrations in colour
Topics: Earth Sciences, general, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Computer Graphics, Mathematical Software