Data scientist

Laboratoire d’Océanographie de Villefranche

Objective

Nearly four years after writing a blog post about recreating R figures in ODV I had someone reach out to me expressing interest in adding a bathymetry layer over the interpolated data. It’s always nice to know that these blog posts are being found useful for other researchers. And I have to admit I’m a bit surprised that the code still runs 4 years later. Especially considering that it uses the tidyverse which is notorious for breaking backwards compatibility. In order to demonstrate the overlaying of bathymetry data on a CTD transect we will need to use a different dataset than in the previous blog post. One may use any data one would like, but for this blog I went to this shiny app to extract some data from the coast of South Africa. Specifically I filtered for temperature data from November 1990 at all depths. We won’t go back over the theory for recreating the ODV figure in this blog post, so please revisit that for a recap as necessary. Below I will show two of the necessary steps to get interpolated CTD data before we begin on the bathymetry mask.

A methodology, dataset, and accompanying R package to quantify the light environment within the waters of Arctic fjords.