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Data Analysis Methods In Physical Oceanography

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Data Analysis Methods in Physical Oceanography

Data Analysis Methods in Physical Oceanography Book
Author : Richard E. Thomson,William J. Emery
Publisher : Elsevier
Release : 2001-04-03
ISBN : 0080477003
Language : En, Es, Fr & De

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Book Description :

Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. 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. 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. 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. Twenty pages are devoted to references. Featuring: • 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. • A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data. • 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. 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. 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. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. 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. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

Data Analysis Methods in Physical Oceanography

Data Analysis Methods in Physical Oceanography Book
Author : Richard E. Thomson,William J. Emery
Publisher : Newnes
Release : 2014-07-14
ISBN : 0123877830
Language : En, Es, Fr & De

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Book Description :

Data Analysis Methods in Physical Oceanography, Third Edition is a practical reference to established and modern data analysis techniques in earth and ocean sciences. Its five major sections address data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The revised Third Edition updates the instrumentation used to collect and analyze physical oceanic data and adds new techniques including Kalman Filtering. Additionally, the sections covering spectral, wavelet, and harmonic analysis techniques are completely revised since these techniques have attracted significant attention over the past decade as more accurate and efficient data gathering and analysis methods. Completely updated and revised to reflect new filtering techniques and major updating of the instrumentation used to collect and analyze data Co-authored by scientists from academe and industry, both of whom have more than 30 years of experience in oceanographic research and field work Significant revision of sections covering spectral, wavelet, and harmonic analysis techniques Examples address typical data analysis problems yet provide the reader with formulaic “recipes for working with their own data Significant expansion to 350 figures, illustrations, diagrams and photos

Data Analysis Methods in Physical Oceanography

Data Analysis Methods in Physical Oceanography Book
Author : William J. Emery,Richard E. Thomson
Publisher : Elsevier
Release : 2001
ISBN : 0444507566
Language : En, Es, Fr & De

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Book Description :

Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. 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. 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. 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. Twenty pages are devoted to references. Featuring: • 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. • A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data. • 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. 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. 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. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. 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. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

Oceanographic Analysis with R

Oceanographic Analysis with R Book
Author : Dan E. Kelley
Publisher : Springer
Release : 2018-10-17
ISBN : 1493988441
Language : En, Es, Fr & De

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Book Description :

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 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. Including a 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.

Modeling Methods for Marine Science

Modeling Methods for Marine Science Book
Author : David M. Glover,William J. Jenkins,Scott C. Doney
Publisher : Cambridge University Press
Release : 2011-06-02
ISBN : 1139500716
Language : En, Es, Fr & De

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Book Description :

This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

Statistics and Physical Oceanography

Statistics and Physical Oceanography Book
Author : National Research Council (U.S.). Committee on Applied and Theoretical Statistics. Panel on Statistics and Oceanography,William F. Eddy
Publisher : National Academies
Release : 1993
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Statistics and Physical Oceanography book written by National Research Council (U.S.). Committee on Applied and Theoretical Statistics. Panel on Statistics and Oceanography,William F. Eddy, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Inverse Methods in Physical Oceanography

Inverse Methods in Physical Oceanography Book
Author : Andrew F. Bennett
Publisher : Cambridge University Press
Release : 1992-07-31
ISBN : 0521385687
Language : En, Es, Fr & De

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Book Description :

The work explores the potential for inverse theory which can combine observations of ocean circulation with numerical models.

Time Series Data Analysis in Oceanography

Time Series Data Analysis in Oceanography Book
Author : Chunyan Li (Oceanographer)
Publisher : Unknown
Release : 2022
ISBN : 9781108697101
Language : En, Es, Fr & De

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Book Description :

"In this introductory chapter, we briefly go over the definitions of terms and tools we need for data analysis. Among the tools, MATLAB is the software package to use. The other tools are mathematics. Although many of the mathematics are not absolutely required before using the book, a person with a background in relevant mathematics will always be better positioned with insight to learn the data analysis skills for real applications"--

Physical Oceanography of the Adriatic Sea

Physical Oceanography of the Adriatic Sea Book
Author : Benoit Cushman-Roisin,Miroslav Gacic,Pierre-Marie Poulain,Antonio Artegiani
Publisher : Springer Science & Business Media
Release : 2013-06-29
ISBN : 9401598193
Language : En, Es, Fr & De

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Book Description :

Because of its centrallocation in the Old World, the Adriatic Sea has long been explored and studied. Modern methods of investigation, however, have accelerated the pace of study during the last decade. These are the ADCP currentmeter, satellite imagery, drifter technology, and, last but not least, the computer with its arsenal of tools for data analysis and model simulations. As a result of this renaissance, the Adriatic Sea and its sub-basins are currently the object of intensified scrutiny by a number of scientific teams, in Europe and be yond. Questions concerning the mesoscale variability that dominates regional motions, the seasonal circulation of the sea, and its long-term climatic role in the broader Mediterranean, have become topics of lively discussions. The time was ripe then when an international workshop dedicated to the physical oceanography of the Adriatic Sea was convened in Trieste on 21-25 September 1998. Its objectives were to assess the current knowledge of the oceanography of the Adriatic Sea, to review the newly acquired observations, to create syn ergy between model simulations and observations, and to identify directions for future Adriatic oceanography. This book, however,is not the mere proceedings of the workshop. It was written as a monograph synthetizing the current knowledge of the physical oceanography of the Adriatic Sea, with the hope that it will serve as a reference to anyone interested in the Adriatic. The book also identifies topics in need of additional inquiry and proposes research directions for the next decade.

Content Analysis

Content Analysis Book
Author : James W. Drisko,Tina Maschi
Publisher : Pocket Guide to Social Work Re
Release : 2016
ISBN : 0190215496
Language : En, Es, Fr & De

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Book Description :

A comprehensive overview of the variation within content analysis and detailed descriptions of three approaches found in the contemporary literature: basic content analysis, interpretive content analysis and qualitative content analysis.

Statistical and Machine Learning Data Mining

Statistical and Machine Learning Data Mining  Book
Author : Bruce Ratner
Publisher : CRC Press
Release : 2017-07-12
ISBN : 149879761X
Language : En, Es, Fr & De

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Book Description :

Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition. In the third edition of this bestseller, the author has completely revised, reorganized, and repositioned the original chapters and produced 13 new chapters of creative and useful machine-learning data mining techniques. In sum, the 43 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. What is new in the Third Edition: The current chapters have been completely rewritten. The core content has been extended with strategies and methods for problems drawn from the top predictive analytics conference and statistical modeling workshops. Adds thirteen new chapters including coverage of data science and its rise, market share estimation, share of wallet modeling without survey data, latent market segmentation, statistical regression modeling that deals with incomplete data, decile analysis assessment in terms of the predictive power of the data, and a user-friendly version of text mining, not requiring an advanced background in natural language processing (NLP). Includes SAS subroutines which can be easily converted to other languages. As in the previous edition, this book offers detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. The author addresses each methodology and assigns its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.

Nonlinear Physical Oceanography

Nonlinear Physical Oceanography Book
Author : Henk A. Dijkstra
Publisher : Springer Science & Business Media
Release : 2007-07-16
ISBN : 1402022638
Language : En, Es, Fr & De

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Book Description :

Taken from a review of the first edition in SIAM: "This text is different from most others in that it combines several different disciplines and draws on many scientific studies in order to deduce mechanisms of ocean circulation. (...) Therefore (it) cannot be substituted, and (...) it meets its unique goals with clarity and thoroughness".

Statistical Data Analysis for Ocean and Atmospheric Sciences

Statistical Data Analysis for Ocean and Atmospheric Sciences Book
Author : H. Jean Thiebaux
Publisher : Elsevier
Release : 2013-10-22
ISBN : 0080926290
Language : En, Es, Fr & De

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Book Description :

Studies of local and global phenomena generate descriptions which require statistical analysis. In this text, H. Jean Thiebaux presents a succinct yet comprehensive review of the fundamentals of statistics as they pertain to studies in oceanic and atmospheric sciences. The text includes an accompanying disk with compatible Minitab sample data. Together, this volume and the included data provide insights into the basics of statistical inference, data analysis, and distributional models of variability. Oceanographers, meteorologists, marine biologists, and other environmental scientists will find this book of great value as a statistical tool for their continuing studies. Key Features * Specifically designed for students of the ocean and atmospheric sciences * Contains a disk containing files of real ocean and atmospheric data, in universal ASCII format, on which many of the exercises are based * Provides succinct yet comprehensive coverage * Designed to teach students statistical methods with the scientific realism of computer analysis and statistical inference

Statistical Analysis in Climate Research

Statistical Analysis in Climate Research Book
Author : Hans von Storch,Francis W. Zwiers
Publisher : Cambridge University Press
Release : 2002-02-21
ISBN : 1139425099
Language : En, Es, Fr & De

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Book Description :

Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.

50 Years of Ocean Discovery

50 Years of Ocean Discovery Book
Author : National Research Council,Division on Earth and Life Studies,Commission on Geosciences, Environment and Resources,Ocean Studies Board
Publisher : National Academies Press
Release : 2000-01-03
ISBN : 9780309172578
Language : En, Es, Fr & De

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Book Description :

This book describes the development of ocean sciences over the past 50 years, highlighting the contributions of the National Science Foundation (NSF) to the field's progress. Many of the individuals who participated in the exciting discoveries in biological oceanography, chemical oceanography, physical oceanography, and marine geology and geophysics describe in the book how the discoveries were made possible by combinations of insightful individuals, new technology, and in some cases, serendipity. In addition to describing the advance of ocean science, the book examines the institutional structures and technology that made the advances possible and presents visions of the field's future. This book is the first-ever documentation of the history of NSF’s Division of Ocean Sciences, how the structure of the division evolved to its present form, and the individuals who have been responsible for ocean sciences at NSF as “rotators†and career staff over the past 50 years.

Modern Data Analysis

Modern Data Analysis Book
Author : Robert L. Launer,Andrew F. Siegel
Publisher : Academic Press
Release : 2014-05-12
ISBN : 1483263061
Language : En, Es, Fr & De

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Book Description :

Modern Data Analysis contains the proceedings of a Workshop on Modern Data Analysis held in Raleigh, North Carolina, on June 2-4, 1980 under the auspices of the United States Army Research Office. The papers review theories and methods of data analysis and cover topics ranging from single and multiple quantile-quantile (Q-Q) plotting procedures to biplot display and pencil-and-paper exploratory data analysis methods. Projection pursuit methods for data analysis are also discussed. Comprised of nine chapters, this book begins with an introduction to styles of data analysis techniques, followed by an analysis of single and multiple Q-Q plotting procedures. Problems involving extreme-value data and the behavior of sample averages are considered. Subsequent chapters deal with the use of smelting in guiding re-expression; geometric data analysis; and influence functions and regression diagnostics. The final chapter examines the use and interpretation of robust analysis of variance for the general non-full-rank linear model. The procedures are described in terms of their mathematical structure, which leads to efficient computational algorithms. This monograph should be of interest to mathematicians and statisticians.

Data Assimilation for the Earth System

Data Assimilation for the Earth System Book
Author : Richard Swinbank,Victor Shutyaev,William Albert Lahoz
Publisher : Springer Science & Business Media
Release : 2003-10-31
ISBN : 9781402015939
Language : En, Es, Fr & De

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Book Description :

Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002

Needs Assessment

Needs Assessment Book
Author : David Royse
Publisher : OUP USA
Release : 2009-02-09
ISBN : 0195368789
Language : En, Es, Fr & De

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Book Description :

This text features discussions on emerging technologies in the field of needs assessment as well as abundant social work case examples. It covers one of the most essential kinds of research for social work management.

Historical Research

Historical Research Book
Author : Elizabeth Ann Danto
Publisher : Oxford University Press
Release : 2008-09-16
ISBN : 9780199715596
Language : En, Es, Fr & De

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Book Description :

What, exactly, was the Charity Organization Society? Was it a cluster of affluent women imposing their moral propriety on the poor in the early 20th Century? Or was it the first concerted effort to professionalize previously random, subjective allocations of benefits and entitlements? This book will help researchers explore systematically such fascinating questions and debates in social work and social welfare history. Mastering how to pose historical questions is as essential as finding the answers. This book, from its wide-ranging coverage of historiographic theory to detailed guidelines for conducting oral history and archival research, offers clear and practical research tools: how to design a study, select primary sources, understand the vocabulary of archives, determine useful secondary sources, and analyze them all. The book also features a guide to archives and special collections that details their holdings, access and locations, and research grants - essential knowledge for any researcher. The thrill of stumbling across unexplored data in the stacks of a library is notorious. Now, this clearly written pocket guide will help established scholars as well as doctoral students get the most out of historical data.