R Tutorial
Exercises using R and the rerddapXtracto R package

About

This document describes R scripts used for demonstrations in the NOAA Satellite Course. The scripts highlight the uses for rerddapXtracto, a R package with functions that allow easy extraction of satellite data from ERDDAP servers. Some of these exercises are also in the rerddapXtracto vignette at https://cran.r-project.org/web/packages/rerddapXtracto/vignettes/UsingrerddapXtracto.html

Software requirements

R and R Studio

The latest version of R Studio is required to participate in the R tutorials and examples presented in the course.
  • R 4.x is required for the R packages that will be used in the course.
  • R Script for required modules: R script to test and/or install required modules for workshop exercises.

Contents

The source notebook file (.Rmd) are available for following along during the course or on your own from our GitHub repository.
Chapter 1 - Introduction An overview of the main rerddapXtracto functions.
Chapter 2 - Extract data within a boundary Visualize data from within the boundaries of the Monterey Bay National Marine Sanctuary and visualize the data in a map.
Chapter 3 - Matchups to ship or animal tracks Extract satellite data around a set of points defined by longitude, latitude, and time coordinates like that produced by animal telemetry, and ship tracks, or a glider tracts. This function can now handle dataset requests which cross the dateline.
Chapter 4 - Create and plot time series Extract time series for fours different satellite chlorophyll datasets. Plot the results to examine the similarities and differences among the datasets. This exercise is useful for application that require piecing together a long time series from several separate satellite missions.
Chapter 5 - Matchup satellite and buoy data Extract SST buoy data from ERDDAP tabular database and then extract the SST satellite data that is coincident with the buoy data.
Chapter 6 - Define a marine habitat Import SST data and apply a temperature threshold to identify turtle habitats
Chapter 7 - Reprojecting gridded and tabular data Obtain cruise track data, buoy data, and satellite data from ERDDAP and map all three types of the data on a map in an Alaska Albers projection
Chapter 8 - Working with Projected Datasets Download projected sea ice data and calculate the indices to use to extract a subset of the projected data. Shows how to create the url to download data directly in R and demonstrates four different ways to map the projected dataset.
Last modified 6mo ago