MATLAB® Recipes for Earth Sciences
Springer International Publishing (Verlag)
978-3-031-57948-6 (ISBN)
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MATLAB® is used in a wide range of geoscientific applications, such as for image processing in remote sensing, for generating and processing digital elevation models, and for analyzing time series. This book introduces methods of data analysis in the earth sciences using MATLAB, such as basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, signal processing, spatial and directional data analysis, and image analysis. The text includes numerous examples demonstrating how MATLAB can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains recipes that include all the MATLAB commands featured in the book and example data.
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 was subsequently appointed a permanent member of the scientific staff at the University of Potsdam. He became a lecturer following his habilitation in 2003 and was granted a titular professorship at the University of Potsdam in 2011. Since 1990, he has worked on various aspects of past changes in the climates of eastern Africa and South America. Martin H. Trauth has taught a variety of courses on data analysis in the earth sciences with MATLAB for more than 30 years both at the University of Potsdam and at other universities around the world.
Data Analysis in the Earth Sciences.- Introduction to MATLAB.- Univariate Statistics.- Bivariate Statistics.- Time Series Analysis.- Signal Processing.- Spatial Data.- Image Processing.- Multivariate Statistics.- Directional Data.
| Erscheint lt. Verlag | 31.12.2024 |
|---|---|
| Reihe/Serie | Springer Textbooks in Earth Sciences, Geography and Environment |
| Zusatzinfo | Approx. 500 p. 350 illus., 250 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| Naturwissenschaften ► Geowissenschaften ► Geologie | |
| Naturwissenschaften ► Geowissenschaften ► Geophysik | |
| Schlagworte | climate time series analysis • computational Geosciences • Digital Elevation Models • Geostatistics • Univariate Statistics |
| ISBN-10 | 3-031-57948-8 / 3031579488 |
| ISBN-13 | 978-3-031-57948-6 / 9783031579486 |
| Zustand | Neuware |
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