Overview
- 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.
Part of the book series: Springer Textbooks in Earth Sciences, Geography and Environment (STEGE)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
Keywords
Table of contents (10 chapters)
Authors and Affiliations
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.
Bibliographic Information
Book Title: MATLAB® Recipes for Earth Sciences
Authors: Martin H. Trauth
Series Title: Springer Textbooks in Earth Sciences, Geography and Environment
DOI: https://doi.org/10.1007/978-3-030-38441-8
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-38440-1Published: 03 December 2020
Softcover ISBN: 978-3-030-38443-2Published: 04 December 2021
eBook ISBN: 978-3-030-38441-8Published: 02 December 2020
Series ISSN: 2510-1307
Series E-ISSN: 2510-1315
Edition Number: 5
Number of Pages: XII, 517
Number of Illustrations: 20 b/w illustrations, 122 illustrations in colour
Topics: Quantitative Geology, Simulation and Modeling, Mathematical Applications in the Physical Sciences