| 书目名称 | Oceanographic Analysis with R | | 编辑 | Dan E. Kelley | | 视频video | | | 概述 | Develops scientific interest with detailed analysis of classic Oceanographic datasets.Aids everyday Oceanographic work with task-oriented examples.Provides a path from MATLAB to R | | 图书封面 |  | | 描述 | 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 switc | | 出版日期 | Book 2018 | | 关键词 | Oceanography; R; data analysis; graphics; instrumentation; ecosystem modeling; Bayesian methods; time serie | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-8844-0 | | isbn_softcover | 978-1-4939-9401-4 | | isbn_ebook | 978-1-4939-8844-0 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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发表于 2025-3-21 17:20:57
