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eBook Data Analysis Methods in Physical Oceanography ePub

eBook Data Analysis Methods in Physical Oceanography ePub

by W.J. Emery,R.E. Thomson

  • ISBN: 0080314341
  • Category: Nature and Ecology
  • Subcategory: Math Science
  • Author: W.J. Emery,R.E. Thomson
  • Language: English
  • Publisher: Pergamon; 1st edition (December 1, 1998)
  • Pages: 650
  • ePub book: 1298 kb
  • Fb2 book: 1956 kb
  • Other: lrf rtf txt azw
  • Rating: 4.7
  • Votes: 262

Description

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.

The focus of the book is on application of methods and not just theoretical description. We have no similar books in Physical Oceanography

The focus of the book is on application of methods and not just theoretical description. The material is presented in the same fashion that data is approached, from collection to analysis. Particularly useful is that each chapter provides background for the topics presented; setting a context for understanding the material. We have no similar books in Physical Oceanography. It puts together the description of many useful techniques (including the modern ones) and it also considers pratical aspects of data collection and analysis. The text is easy to follow.

Authors: Richard E. Thomson William Emery. eBook ISBN: 9780080886794. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations. Appendix A: Units in Physical Oceanography. Appendix B: Glossary of Statistical Terminology. Paperback ISBN: 9780123877826. eBook ISBN: 9780123877833. Appendix D: Statistical Tables.

Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. Intended for both students and established scientists, the fivemajor chapters of the book. cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series.

EOS Transactions, .

Data analysis methods in physical oceanography Elektronische Ressource. Data analysis methods in physical oceanography Elektronische Ressource. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations )

oceedings{Nayak1998DataAM, title {Data Analysis Methods in Physical Oceanography}, author {Manas Ranjan Nayak and William J. Emery and Richard E. Thomson}, year {1998} }.

oceedings{Nayak1998DataAM, title {Data Analysis Methods in Physical Oceanography}, author {Manas Ranjan Nayak and William J. Manas Ranjan Nayak, William J. Emery, Richard E. Thomson. Chapter and section headings: Preface.

Numerically, the equation is solved implicitly without iteration on an unstructured triangular mesh grid. The paper demonstrates the performance of the method for tidal property fields with different characteristics, boundary complexity, number of input data points, and data point distribution.

Data Analysis Methods in Physical Oceanography provides a comprehensive and practical compilation of the essential information and analysis techniques required for the advanced processing and interpretation of digital spatio-temporal data in physical oceanography as well as in other branches of the geophysical sciences.

This book assumes a fundamental understanding of calculus and is directed primarily towards scientists and engineers in industry, government and universities, including graduate and advanced undergraduate students. Spanning five chapters and numerous appendices, the book provides a valuable compendium of the fundamental data processing tools required by the marine scientist. The book begins with a detailed discussion of the instruments used to collect oceanographic data and the limitations of the resulting data. Data presentation and display methods are reviewed in chapter two. The remaining three chapters supply detailed information on a broad range of statistical and deterministic data analysis methods ranging from established methods such as Analysis of Variance methods and Principal Component Analysis, to more recent data analysis techniques such as Wavelet Transforms and Fractals. Each technique is illustrated by a worked example and a large number of references are given for the reader who may want to dig deeper into the subject. No other book of this type exists that brings together in one volume information on the measurement systems, data editing, data reduction/processing and analysis and interpretation. At present this information is scattered among numerous texts, reference books, primary publications, technical reports and other "gray" literature such as data reports. This book brings all of this information into a single volume which can act as a text for the neophyte or a reference volume for the experienced scientist. The book is both a guide and an encyclopedia to modern data processing methods in the geophysical sciences. The http://www.elsevier.nl/locate/isbn/0444507566 Second and Revised Edition of Data Analysis Methods in Physical Oceanography will be published in March 2001.

Comments

Opilar Opilar
In Data Analysis Methods in Physical Oceanography, Emery and Thomson have drawn together a broad range of information on data analysis methods in a single volume. It is an excellent book for the experienced researcher as well as upper level undergraduates and graduate students. It could either serve as a textbook or as a reference handbook. The focus of the book is on application of methods and not just theoretical description. The material is presented in the same fashion that data is approached, from collection to analysis. Particularly useful is that each chapter provides background for the topics presented; setting a context for understanding the material.
The first chapter reviews the basics of statistical sampling and how various oceanographic data elements are collected. It describes in detail the various methods used for collection and their inherent strengths and weakness. The second chapter moves from collecting the data to processing and data presentation; including calibration, interpolation and a variety of presentation formats. The third chapter presents the standard statistical methods and procedures for error handling. The last two chapters cover the range of methods used for spatial and time series analysis of data. This includes not only long established methods but more recent methodologies, such as wavelet transforms, as well.
A bibliography and set of appendices complement the text, making the book an all encompassing reference work. The authors have created an extensive bibliography that enables readers to follow up with more specific readings. The appendices include units in physical oceanography, a glossary of statistical terms, statistical tables, and non-uniform numbers.
Fenrikree Fenrikree
We have no similar books in Physical Oceanography. It puts together the description of many useful techniques (including the modern ones) and it also considers pratical aspects of data collection and analysis. The text is easy to follow. The figures are very clear. Useful references are cited. Other geophysical areas can also benefit from it. Do I need to say something else !
Naril Naril
This is a must have for all field oceanographers. The material is well organized and clearly presented. Excellent companion for intro data analysis and observational physical oceanography texts.