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. 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.
Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Kelley provides a general introduction to R before introducing the ‘oce’ package.
8, P.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. It would be appropriate for academic and special libraries." E-Streams, Vol. Plueddemann, 1999 "(.)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. Jay, 1999 "(.)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. 9, 1998 "(.)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. In praise of the first edition: "(.)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(.) The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No.
A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.The seven appendices include unit conversions, approximation methods and nondimensional numbers used in geophysical fluid dynamics, presentations on convolution, statistical terminology, and distribution functions, and a number of important statistical tables.
Chapter 5 on time series analysis is a book in itself, spanning a wide diversity of topics from stochastic processes and stationarity, coherence functions, Fourier analysis, tidal harmonic analysis, spectral and cross-spectral analysis, wavelet and other related methods for processing nonstationary data series, digital filters, and fractals.
Intended for both students and established scientists, the five major chapters of the book cover data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'.
Download Or Read Data Analysis Methods in Physical Oceanography eBook PDFīook excerpt: Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences.