MATLAB® Recipes for Earth Sciences / by Martin H. Trauth.

Format:

Book

Author/Creator:

Trauth, Martin H.

Series:

Springer Textbooks in Earth Sciences, Geography and Environment, 2510-1315

Language:

English

Subjects (All):

Geophysics.

Geographic information systems.

Application software.

Geographical Information System.

Computer and Information Systems Applications.

Local Subjects:

Geophysics.

Geographical Information System.

Computer and Information Systems Applications.

Physical Description:

1 online resource (391 pages)

Edition:

6th ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-57949-6

OCLC:

1512317773