This lesson will discuss some of the challenges associated with working with social media data in science. These challenges include working with non standard text, large volumes of data, API limitations, and geolocation issues.
last updated: 10 Jan 2018
In this lesson you will review how to adjust the extent of a spatial plot in R using the ext() or extent argument and the extent of another layer.
last updated: 10 Jan 2018
In this lesson you learn to use the par() or parameter settings in R to plot several raster RGB plots in R in a grid.
last updated: 10 Jan 2018
In this lesson you review how to remove those pesky borders from a raster plot using base plot in R. We also cover adding legends to your plot outside of the plot extent.
last updated: 10 Jan 2018
This lesson covers how to overlay raster data on a hillshade in R using baseplot and layer opacity arguments.
last updated: 10 Jan 2018
This lesson covers creating a basemap with the ggmap package in R. Given some ongoing bugs with ggmap it also covers the map package as a backup!
last updated: 10 Jan 2018
This lesson introduces the mutate() and group_by() dplyr functions - which allow you to aggregate or summarize time series data by a particular field - in this case you will aggregate data by day to get daily precipitation totals for Boulder during the 2013 floods.
last updated: 10 Jan 2018
This lesson illustrated what your final stream discharge homework plots should look like for the week. Use all of the skills that you've learned in the previous lessons to complete it.
last updated: 10 Jan 2018
Learn how to summarize time series data by day, month or year with Tidyverse pipes in R.
last updated: 10 Jan 2018
Learn how to extract and plot data by a range of dates using pipes in R.
last updated: 10 Jan 2018
Times series data can be manipulated efficiently in R. Learn how to work with, plot and subset data with dates in R.
last updated: 10 Jan 2018
Learn how to plot data and customize your plots using ggplot in R.
last updated: 10 Jan 2018