MATLAB® Recipes for Earth Sciences
MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics...
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oai:scholar.dlu.edu.vn:DLU123456789-581742023-11-11T06:02:40Z MATLAB® Recipes for Earth Sciences Trauth, Martin Data processing Earth sciences Mathematics MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as 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 Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book’s supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data. Table of contents (10 chapter) Data Analysis in Earth Sciences Trauth, Martin H. Pages 1-9 24,95 € Introduction to MATLAB Trauth, Martin H. Pages 11-55 Univariate Statistics Trauth, Martin H. Pages 57-120 Bivariate Statistics Trauth, Martin H. Pages 121-149 Time-Series Analysis Trauth, Martin H. Pages 151-213 Show next 5 Download Preface 1 PDF (683.1 KB) Download Sample pages 2 PDF (1.4 MB) Download Table of contents PDF (416.7 KB) Link zum iBookstore Buy this book eBook 63,06 € price for Vietnam (gross) change ISBN 978-3-662-46244-7 digitally watermarked, no DRM included format: PDF eBooks can be used on all Reading Devices download immediately after purchase Hardcover 74,99 € FAQ Policy Book Metrics Downloads 7390 Provided by Bookmetrix Services for this Book Download Product Flyer Access an Online Book Review Copy Access Instructor´s Textbook Exam Copy Download High-Resolution Cover 2015-09-10T08:22:11Z 2015-09-10T08:22:11Z 2015 Book 978-3-662-46244-7 978-3-662-46243-0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58174 en application/pdf Springer |
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Thư viện Trường Đại học Đà Lạt |
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English |
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Data processing Earth sciences Mathematics |
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Data processing Earth sciences Mathematics Trauth, Martin MATLAB® Recipes for Earth Sciences |
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MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as 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 Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book’s supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.
Table of contents (10 chapter)
Data Analysis in Earth Sciences
Trauth, Martin H.
Pages 1-9
24,95 €
Introduction to MATLAB
Trauth, Martin H.
Pages 11-55
Univariate Statistics
Trauth, Martin H.
Pages 57-120
Bivariate Statistics
Trauth, Martin H.
Pages 121-149
Time-Series Analysis
Trauth, Martin H.
Pages 151-213
Show next 5
Download Preface 1 PDF (683.1 KB)
Download Sample pages 2 PDF (1.4 MB)
Download Table of contents PDF (416.7 KB)
Link zum iBookstore
Buy this book
eBook 63,06 €
price for Vietnam (gross) change
ISBN 978-3-662-46244-7
digitally watermarked, no DRM
included format: PDF
eBooks can be used on all Reading Devices
download immediately after purchase
Hardcover 74,99 €
FAQ Policy
Book Metrics
Downloads 7390
Provided by Bookmetrix
Services for this Book
Download Product Flyer
Access an Online Book Review Copy
Access Instructor´s Textbook Exam Copy
Download High-Resolution Cover |
format |
Book |
author |
Trauth, Martin |
author_facet |
Trauth, Martin |
author_sort |
Trauth, Martin |
title |
MATLAB® Recipes for Earth Sciences |
title_short |
MATLAB® Recipes for Earth Sciences |
title_full |
MATLAB® Recipes for Earth Sciences |
title_fullStr |
MATLAB® Recipes for Earth Sciences |
title_full_unstemmed |
MATLAB® Recipes for Earth Sciences |
title_sort |
matlab® recipes for earth sciences |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58174 |
_version_ |
1782544482199142400 |