MATLAB® recipes for earth sciences / Martin H. Trauth.
Trauth, Martin H., author.
2021
QE33.2.M3
Available Online

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Title MATLAB® recipes for earth sciences / Martin H. Trauth.
Author Trauth, Martin H., author.
Edition Fifth edition.
ISBN 9783030384418 (electronic book)
3030384411 (electronic book)
3030384403
9783030384401
DOI https://doi.org/10.1007/978-3-030-38441-8
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource (xii, 517 pages) : illustrations (chiefly color)
Item Number 10.1007/978-3-030-38441-8 doi
Call Number QE33.2.M3
Dewey Decimal Classification 550.1/51
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 17, 2021).
Series Springer textbooks in earth sciences, geography and environment, 2510-1307
Available in Other Form Print version: 9783030384401
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Data Analysis in Earth Sciences
Introduction to MATLAB
Univariate Statistics
Bivariate Statistics
Time-Series Analysis
Signal Processing
Spatial Data
Image Processing
Multivariate Statistics
Statistics on Directional Data.

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