Data access in R

• 1) ERDDAP
  • Get a listing of servers that rerddap knows about
  • What services are available in the server?
  • Let’s query all the datasets that have the standard_name of sea_water_practical_salinity.
  • Let us narrow our search to deployments that are within a lon/lat/time extent.
• 2) OPeNDAP
  • Bigelow Homegrown R Packages
  • Retrieve the variables contained in the netcdf object
  • Retrieve the spatial resolution stated in the global metadata
• Read in CalCOFI Station Data
• Change x to be an sf object containing points
• Change x to be an sf object containing a bounding box
  • Extract the bounding box
  • Plot the layer we extracted and the points on top
• 3) WMS
  • Learning Objectives:
• National Data Buoy Center
  • Requirements
  • Generate a list of buoys, and, as an example, narrow the list to Gulf of Maine.
  • We select one buoy, Cutler Farris Wharf, in Maine and filter the listing down to just that one record (row).
  • Now we can pull buoy data, but only one dataset, such as standard meteorology, for a single year at a time may be requested. The function yields a list of two elements…
• Load packages
• Read the text from the NAO
• Format the text into a nice looking wide form tibble (one row per year)
• Convert the tibble into long form (one row per month/year)