Oceanographic Analysis with R - Dan E. Kelley

Oceanographic Analysis with R

(Autor)

Buch | Softcover
290 Seiten
2019 | Softcover reprint of the original 1st ed. 2018
Springer-Verlag New York Inc.
978-1-4939-9401-4 (ISBN)
53,49 inkl. MwSt
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 teaches key R functions using classic examples from thehistory of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J.
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 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.  

Dan E. Kelley is a Professor in the Department of Oceanography at Dalhousie University, which is one of Canada’s oldest universities and a national center for research in the fields of ocean science, policy, and law. He teaches at both undergraduate and graduate levels, and has been nominated twice for teaching awards. His research focuses on physical oceanography, in particular the parameterization of small-scale mixing and exchanges associated with convection, double diffusion, internal waves, and frontal instabilities. He also collaborates widely on topics ranging from under-ice algal blooms to the mechanics of whale-ship collisions. A former executive member of the Canadian Meteorological and Oceanographic Society, a long-serving Graduate Coordinator, a university Senator, and the recipient of both the Rosemary Gill Award for outstanding service to students and an NSERC University Research Fellowship, Kelley has published numerous papers in peer-reviewed journals.

Why R, and why now? .- R tutorial for oceanographers.- The oce package.- Historical examples.-  Practical operating procedures.- Solutions.- Appendix A: Switching from Matlab to R.- Appendix B: GUI systems for R.- Map projections in oce.- Appendix D: Seawater formulations in oce.- Appendix E: High-performance calculations.- Appendix F: The future of R.- References.- Index.

Erscheinungsdatum
Zusatzinfo 17 Illustrations, color; 107 Illustrations, black and white; XXI, 290 p. 124 illus., 17 illus. in color.
Verlagsort New York
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Medizin / Pharmazie
Naturwissenschaften Geowissenschaften Hydrologie / Ozeanografie
Schlagworte Bayesian Methods • Data Analysis • Ecosystem modeling • graphics • Instrumentation • Oceanography • R • Time Series Analysis
ISBN-10 1-4939-9401-8 / 1493994018
ISBN-13 978-1-4939-9401-4 / 9781493994014
Zustand Neuware
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