1. Wrap up
Your map is looking great!
2. Final tweaks
There are still a few tweaks I might make. The neighborhood labels are still a little crowded, but labeling automatically is pretty hard, it might be easier to adjust these labels by hand in something outside R. I'd also like to see dollar signs in front of our numbers on the income legend. And there are also a few tiny stray piers and islands that get distractingly large neighborhood boundaries. We might tackle these next if we had more time.
Unfortunately you are at the end of the course. Let's wrap up with a quick overview of what you've learned.
3. Chapter 1
We started by exploring what makes data spatial, and the types of spatial data that are common: point, line, polygon and raster. You learned you already knew how to display spatial data with ggplot2, but that the display could be enhanced by using the ggmap package to add in map data in the background.
4. Chapters 2 & 3
In chapters 2 and 3 you met the special classes for spatial data provided by the sp and raster packages. These might have been your first S4 classes, and you learned how to access their contents. You also had an introduction to the tmap package that makes displaying spatial data very simple, and had plenty of practice displaying both polygon and raster data.
In chapter 3 you also learned about making good choices for color palettes: that you should match the perceptual properties of a scale to the meaning of your variables, and how to control the mapping of values to colors. You practiced by playing with color in maps, but we hope you apply these principles to all your data visualizations.
5. Chapter 4
In chapter 4 you covered the skills you need to start working with your own spatial data: how to read data in, how to transform coordinate systems, and how to add data to Spatial___Dataframe objects. We finished up with some things to keep in mind when polishing your maps.
6. Thank you!
You should be feeling pretty confident about grabbing spatial data, getting it in to R, doing some basic manipulation and displaying it. I hope you've enjoyed this introduction to spatial data and I hope to see you soon in another course. Now go out and practice your new skills!