Data Analysis Methods in Physical Oceanography is popular PDF and ePub book, written by Richard E. Thomson in 2014-07-28, it is a fantastic choice for those who relish reading online the SCIENCE genre. Let's immerse ourselves in this engaging SCIENCE book by exploring the summary and details provided below. Remember, Data Analysis Methods in Physical Oceanography can be Read Online from any device for your convenience.

Data Analysis Methods in Physical Oceanography Book PDF Summary

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

Detail Book of Data Analysis Methods in Physical Oceanography PDF

Data Analysis Methods in Physical Oceanography
  • Author : Richard E. Thomson
  • Release : 28 July 2014
  • Publisher : Elsevier Science
  • ISBN : 0123877822
  • Genre : SCIENCE
  • Total Page : 716 pages
  • Language : English
  • PDF File Size : 13,6 Mb

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