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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.

Availability

Inventory Code	Barcode	Call Number	Location	Status
2108000100	EB0003983	005.131 Tra m	Central Library (OPAC)	Available

Detail Information

Series Title: Springer Textbooks in Earth Sciences, Geography and Environment
Call Number: 005.131 Tra m
Publisher: Switzerland : Springer Cham., 2020
Collation: XII, 517p.; ill
Language: English
ISBN/ISSN: 978-3-030-38441-8
Classification: 005.131
Content Type: Ebook
Media Type: -
Carrier Type: -
Edition: 1
Subject(s): quantitative geology
Simulation and Modeling
Specific Detail Info: -
Statement of Responsibility: BRF

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MATLAB® Recipes for Earth Sciences

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