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Practical Operating Procedures

Dan E. Kelley
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Dan E. Kelley: Dalhousie University, Oceanography

Chapter Chapter 5 in Oceanographic Analysis with R, 2018, pp 119-186 from Springer

Abstract: Abstract Oceanographers are commonly called upon to analyse datasets that are marred by instrument malfunction and loss, or the inability to resolve features that are of an unexpected form. Repeating experiments is not the option it is in bench-based science, so analysts must become skilled at developing ad hoc procedures to wring useful information out of whatever data can be acquired. This is why standard operating procedurestandard operating procedure s are less common in oceanography than what might be called “practical operating procedure practical operating procedure s.” R is an ideal tool for this way of working, given its inherent suitability for interactive analysis and its provision of a vast array of libraries for specialized techniques.

Keywords: Auto Regressive Integrated Moving Average (ARIMA); Goddard Institute For Space Studies (GISS); Sealevel; Neural networkNeural Network; Time seriesTime Series (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-8844-0_5

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DOI: 10.1007/978-1-4939-8844-0_5

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