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Mapping with R

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  1. Welcome to Mapping with R (01_01)
  2. Geospatial Data
    Making Maps is Complex (01_02)
  3. mapview for Quick Maps (01_03)
  4. sf for Simple Features (01_04)
  5. Turning Data Frames into sf Objects (01_05)
  6. Importing Shapefiles (01_06)
  7. Joining Geospatial Datasets (01_07)
  8. Disambiguating Country Names (01_08)
  9. Converting Addresses to Coordinates (01_09)
  10. U.S.-Specific Datasets (01_10)
  11. Advice on Finding International Datasets (01_11)
  12. CRS and Projections: Geographic and Projected CRS (01_12)
  13. CRS and Projections: How to Choose a CRS (01_13)
  14. Introducing Raster GIS with raster and stars (01_14)
  15. Basics of Using the raster Package (01_15)
  16. Static Maps
    ggplot2 Essentials (02_01)
  17. Starting a Map in ggplot2 (02_02)
  18. Labelling ggplot2 Maps (02_03)
  19. Compare Locations/Events with Geobubble Charts (02_04)
  20. Highlight a Region in a Country with ggplot2 (02_05)
  21. Make a Choropleth Map of Discrete Variables with ggplot2 (02_06)
  22. Make a Choropleth Map of Continuous Variables with ggplot2 (02_07)
  23. Faceting Choropleth Maps with ggplot2 (02_08)
  24. Visualize Raster Data with ggplot2 (02_09)
  25. Adding Scale Bars and North Arrows with ggplot2 (02_10)
  26. Interactive Maps
    What is leaflet? (03_01)
  27. Starting a Map in leaflet (03_02)
  28. Necessary HTML for Labelling leaflet Maps (03_03)
  29. Highlight a Region in a Country with leaflet (03_04)
  30. Compare Locations/Events with Geobubble Charts in leaflet (03_05)
  31. Make a Choropleth Map of Discrete Variables with leaflet (03_06)
  32. Make a Choropleth Map of Continuous Variables with leaflet (03_07)
  33. Visualize Raster Data with leaflet (03_08)
  34. Wrapping Up
    You Did It!
Mapping with R ggplot2 Essentials (02_01)
Lesson 16 of 34
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ggplot2 Essentials (02_01)

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The {ggplot2} package is incredible for building static data visualizations. As I mention in the video, the only charts you can’t create with it are some dual y-axis charts.

David Robinson is a very popular data scientist who has written a detailed explanation of why he uses (and recommends) {ggplot2}.

In the video I mention that {ggplot2} implements a grammar of graphics. If you’re interested in exactly what that means I recommend this section of the ggplot2 book by Hadley Wickham.

As we progress through this section of the course I’ll pose problems to solve in our charts and which of these components we need to affect:

  • aesthetics
  • geoms (and factors)
  • scales
  • guides
  • themes

At the end of this video I also introduce the {ggspatial} package which is introduced in more detail in the next video and at the end of this section when I show you how to add scale bars to charts.

Have any questions? Put them below and we will help you out!