Mapping in R
Yesterday we learned how to create ggplot2 figures, change their aesthetics, labels, colour palettes, facet/arrange them, and add some statistics. Now we are going to look at how to create maps.
Most of the work that we perform as environmental/biological scientists involves going out to a location and sampling information there. Sometimes only once, and sometimes over a period of time. All of these different sampling methods lend themselves to different types of figures. One of those, collection of data at different points, is best shown with maps. As we will see over the course of Day 3, creating maps in ggplot2 is very straight forward and is extensively supported. For that reason we are going to have plenty of time to also learn how to do some more advanced things.
Slides and application exercises
The current landscape.
Here there be dragons.
A polar-ising subject.
DIY maps
Now that we have learned how to make conventional maps, as well as polar projections, it is time for us to branch out once again and let our creative juices flow. Please group up as you see fit and create your own beautiful map of wherever you like. Bonus points for faceting in additional figures showing supplementary information. Feel free to use either conventional maps or the polar alternative. Same as yesterday, we will be walking the room to help with any issues that may arise.