Data analysis methods in physical oceanography

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 handl...

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Bibliographic Details
Main Authors: Thomson, Richard E., Emery, William J. (Author)
Format: eBook
Language:English
Published: Amsterdam Elsevier Science 2014, 2014
Edition:Third edition
Subjects:
Online Access:
Collection: Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa
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245 0 0 |a Data analysis methods in physical oceanography  |h Elektronische Ressource  |c Richard E. Thomson, William J. Emery 
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260 |a Amsterdam  |b Elsevier Science  |c 2014, 2014 
300 |a online resource (p. cm.) 
505 0 |a Includes bibliographical references and index 
505 0 |a Data Acquisition and Recording -- Data Processing and Presentation -- Statistical Methods and Error Handling -- The Spatial Analyses of Data Fields -- Time Series Analysis Methods -- Digital Filters 
653 |a Oceanography / Data processing / fast / (OCoLC)fst01043680 
653 |a Oceanography / Research / Data processing / fast / (OCoLC)fst01043706 
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653 |a Oceanography / Research / Data processing 
653 |a Oceanography / Data processing 
653 |a Oceanography / Observations / Data processing 
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520 |a 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