Abstract
This chapter presents potential solutions to the exercises presented in the previous chapters, along with additional discussion of related issues. The exercises range widely in complexity, with even the most basic being worthy of some attention. For example, readers who take the first exercise seriously will learn not just how to construct simple linegraphs, but also how to read R documentation, and that is a skill that can pay off in more sophisticated applications such as mapping the classic Endeavour cruise, as shown in Fig. 6.1.
H.M.S. Endeavour cruise, 1768–1771, shown in Robinson projection. (See Page 210 for the R code that creates this diagram)
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- 1.
- 2.
More detailed and up-to-date measurements of Manua Loa
concentration are provided at the Scripps
website https://scripps.ucsd.edu/programs/keelingcurve/. - 3.
See http://www.seabird.com/sbe3plus-ctd-temperature-sensor for more on Seabird thermistors and their calibration.
- 4.
A function to do this would need to use ls( envir=parent.frame( ) ) to access variables in the calling environment.
- 5.
- 6.
Such simulations are useful for exploring the nature of the equations, but realistic applications should include changing background conditions and forcing.
- 7.
Note the normalization of the fft() output, to match the convention of spectrum() .
- 8.
As in the previous Exercise, note the scaling of fft() output.
concentration are provided at the Scripps
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Kelley, D.E. (2018). Solutions. In: Oceanographic Analysis with R. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-8844-0_6
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