Oceanographic Analysis with R (eBook)
XXI, 290 Seiten
Springer New York (Verlag)
978-1-4939-8844-0 (ISBN)
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.
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.
| Erscheint lt. Verlag | 17.10.2018 |
|---|---|
| Zusatzinfo | XXI, 290 p. 124 illus., 17 illus. in color. |
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Medizin / Pharmazie | |
| Naturwissenschaften ► Geowissenschaften ► Hydrologie / Ozeanografie | |
| Technik | |
| Schlagworte | Bayesian Methods • Data Analysis • Ecosystem modeling • graphics • Instrumentation • Oceanography • R • Time Series Analysis |
| ISBN-10 | 1-4939-8844-1 / 1493988441 |
| ISBN-13 | 978-1-4939-8844-0 / 9781493988440 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 8,1 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
