Oceanographic Analysis with R (Paperback, Softcover reprint of the original 1st ed. 2018)

This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R over the more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the 'oce' package. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. Generic functions take care of general operations such as subsetting and plotting data, while specialized functions address more specific tasks such as tidal decomposition, hydrographic analysis, and ADCP coordinate transformation. In addition, the package makes it easy to document work, because its functions automatically update processing logs stored within its data objects. Kelley teaches key R functions using classic examples from the history 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	December 2019
First published:	2018
Authors:	Dan E. Kelley
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	290
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-1-4939-9401-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer programming > General Books > Earth & environment > Earth sciences > The hydrosphere > Oceanography (seas) Promotions
LSN:	1-4939-9401-8
Barcode:	9781493994014

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