國立虎尾科技大學 |

Oceanographic Analysis with R

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Oceanographic Analysis with R/ by Dan E. Kelley.
Author:	Kelley, Dan E.
Description:	XXI, 290 p. 124 illus., 17 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-1-4939-8844-0
ISBN:	9781493988440

Oceanographic Analysis with R
Kelley, Dan E.

Oceanographic Analysis with R[electronic resource] /by Dan E. Kelley. - 1st ed. 2018. - XXI, 290 p. 124 illus., 17 illus. in color.online resource.

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

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

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Oceanographic Analysis with R
LDR:03856nam a22004095i 4500 001 987693
003 DE-He213
005 20200705171329.0
007 cr nn 008mamaa
008 201225s2018 xxu| s |||| 0|eng d
020 $a 9781493988440 $9 978-1-4939-8844-0
024 7 $a 10.1007/978-1-4939-8844-0 $2 doi
035 $a 978-1-4939-8844-0
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MED090000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a MBNS $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Kelley, Dan E. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1210544
245 1 0 $a Oceanographic Analysis with R $h [electronic resource] / $c by Dan E. Kelley.
250 $a 1st ed. 2018.
264 1 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2018.
300 $a XXI, 290 p. 124 illus., 17 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
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.
650 0 $a Statistics . $3 1253516
650 0 $a Oceanography. $3 654897
650 0 $a Computer programming. $3 527822
650 1 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Programming Techniques. $3 669781
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781493988426
776 0 8 $i Printed edition: $z 9781493988433
776 0 8 $i Printed edition: $z 9781493994014
856 4 0 $u https://doi.org/10.1007/978-1-4939-8844-0
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)