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Oceanographic analysis with R

Kelley, Dan E.

Oceanographic analysis with R

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Oceanographic analysis with Rby Dan E. Kelley.
作者:	Kelley, Dan E.
出版者:	New York, NY :Springer New York :2018.
面頁冊數:	xxi, 290 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	OceanographyData processing.
電子資源:	https://doi.org/10.1007/978-1-4939-8844-0
ISBN:	9781493988440$q(electronic bk.)

Oceanographic analysis with R
Kelley, Dan E.

Oceanographic analysis with R[electronic resource] /by Dan E. Kelley. - New York, NY :Springer New York :2018. - xxi, 290 p. :ill., digital ;24 cm.

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.

This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R instead of 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 a host of 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. With its 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, where he has been nominated twice for teaching awards. His research focuses on physical oceanography, in particular the parameterization of mixing and exchanges associated with convection, double diffusion, internal waves, and frontal instabilities. 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.

ISBN: 9781493988440$q(electronic bk.)

Standard No.: 10.1007/978-1-4939-8844-0doiSubjects--Topical Terms:

379703
Oceanography
--Data processing.

LC Class. No.: GC10.4.E4 / K455 2018

Dewey Class. No.: 551.460285

Oceanographic analysis with R
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520 $a This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R instead of 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 a host of 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. With its 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, where he has been nominated twice for teaching awards. His research focuses on physical oceanography, in particular the parameterization of mixing and exchanges associated with convection, double diffusion, internal waves, and frontal instabilities. 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.
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