Authors:
- Develops scientific interest with detailed analysis of classic Oceanographic datasets
- Aids everyday Oceanographic work with task-oriented examples
- Provides a path from MATLAB to R
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Kelley teaches key R functions using classic examples from thehistory of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J. Tuzo Wilson, and Walter Munk. Acknowledging the pervasive popularity of MATLAB, the book provides advice to users who would like to switch to R. Including a suite of real-life applications and over 100 exercises and solutions, the treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.
Authors and Affiliations
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Oceanography, Dalhousie University, Halifax, Canada
Dan E. Kelley
About the author
Bibliographic Information
Book Title: Oceanographic Analysis with R
Authors: Dan E. Kelley
DOI: https://doi.org/10.1007/978-1-4939-8844-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2018
Hardcover ISBN: 978-1-4939-8842-6
Softcover ISBN: 978-1-4939-9401-4
eBook ISBN: 978-1-4939-8844-0
Edition Number: 1
Number of Pages: XXI, 290
Number of Illustrations: 107 b/w illustrations, 17 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Oceanography, Programming Techniques