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Titlebook: MATLAB? Recipes for Earth Sciences; Martin H. Trauth Textbook 2021Latest edition The Editor(s) (if applicable) and The Author(s), under ex

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發(fā)表于 2025-3-21 16:15:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱MATLAB? Recipes for Earth Sciences
編輯Martin H. Trauth
視頻videohttp://file.papertrans.cn/621/620074/620074.mp4
概述Provides a comprehensive introduction to the use of MATLAB for geoscientific applications.Includes information on new MATLAB features such as the Live Editor and App Designer.The code in the book can
叢書名稱Springer Textbooks in Earth Sciences, Geography and Environment
圖書封面Titlebook: MATLAB? Recipes for Earth Sciences;  Martin H. Trauth Textbook 2021Latest edition The Editor(s) (if applicable) and The Author(s), under ex
描述.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 samp
出版日期Textbook 2021Latest edition
關(guān)鍵詞MATLAB; Quantitative Geology; Geostatistics; Time-Series Analysis; Signal Processing; Spatial Data
版次5
doihttps://doi.org/10.1007/978-3-030-38441-8
isbn_softcover978-3-030-38443-2
isbn_ebook978-3-030-38441-8Series ISSN 2510-1307 Series E-ISSN 2510-1315
issn_series 2510-1307
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Multivariate Statistics,), which is a popular method of classification in earth sciences. Section . introduces multiple linear regression. Section . demonstrates the use of Aitchison’s log-transformation to overcome the closed-sum problem that is very common in multivariate data sets.
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2510-1307 s the Live Editor and App Designer.The code in the book can .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 d
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Textbook 2021Latest edition 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 samp
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