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MATLAB® Recipes for Earth Sciences de Martin H. Trauth

MATLAB® Recipes for Earth Sciences: Springer Textbooks in Earth Sciences, Geography and Environment

Autor Martin H. Trauth
en Limba Engleză Hardback – 22 sep 2024
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.
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Specificații

ISBN-13: 9783031579486
ISBN-10: 3031579488
Pagini: 500
Ilustrații: Approx. 500 p. 350 illus., 250 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:6th ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Springer Textbooks in Earth Sciences, Geography and Environment

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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.

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 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.

Caracteristici

Introduces methods of data analysis in geosciences using MATLAB Contains numerous examples on how to process geoscientific information Written by an expert for geoscientific modeling programs

Recenzii

“This book uses MATLAB for the representation of,analysis of, and other operations on earth science datasets. … the examples inthe book are self-explanatory and can be easily understood by those working inthe field. … Trauth considers undergraduates, post-graduates, doctoralstudents, scientists, and researchers as the possible audience of this book.” (LalitSaxena, Computing Reviews, September, 2015)