Creating Maps with R

Course details

If you need to learn more about creating maps with R, this beginner-friendly course introduces an end-to-end mapping workflow and shows you how to import your data directly from Excel to create both static and interactive maps. Instructor Charlie Joey Hadley explains mapping fundamentals, like geo markers, scatter plots, hexbin maps, cartograms, and more. Charlie walks you through processing GIS data from Excel and working with GIS data formats such as raster, vector, sf, and sp. She demonstrates how to create, label, and transform static maps with ggplot2, then dives into building interactive, mobile-ready maps using Leaflet, an HTML widget package for creating interactive maps with R. Plus, Charlie covers base maps and tiles, projections, the Coordinate Reference System (CRS), and more.

Concepts

0. Introduction

01 - Why create maps with R
02 - Base knowledge
03 - GitHub repository and exercise files

1. Mapping Fundamentals

04 - How to choose a map
05 - Geo marker and scatter plots
06 - Geo bubble charts
07 - Choropleth - Shaded area maps
08 - Hexbin maps or hexagonally binned choropleth
09 - Dot density
10 - Cartograms - Distorted area maps

2. Processing GIS Data from Excel

11 - Standardize country names with countrycode
12 - Join shapefiles with data in Excel files
13 - Convert addresses to coordinates with geocoding
14 - Challenge - Geolocate all US state capitol buildings
15 - Solution - Geolocate all US state capitol buildings

3. Working with GIS Data Formats

16 - GIS data formats - Raster or vector
17 - Vector GIS data - sf and sp
18 - Work with sf datasets and the tidyverse
19 - Challenge - Visualizing continent populations
20 - Solution - Visualizing continent populations

4. Static Maps with ggplot2

21 - Use geom sf to visualize geo locations
22 - ggplot2 choropleth and continuous data
23 - ggplot2 choropleth and discrete data
24 - Label maps with ggrepel package
25 - Zoom into regions with coords sf()
26 - Transform CRS with coord sf()
27 - Challenge - Label a geobubble chart of Germany's biggest cities
28 - Solution - Label a geobubble chart of Germany's biggest cities
29 - Challenge - Visualize state coastline length with choropleth
30 - Solution - Visualize state coastline length with choropleth

5. Interactive Maps with Leaflet

31 - The basics of using Leaflet
32 - Use Leaflet to visualize geo locations
33 - Add labels and pop-ups to Leaflet maps
34 - Leaflet choropleth and continuous data
35 - Leaflet choropleth and discontinuous data
36 - Set a background color with leaflet.extras
37 - Challenge - Add pop-up labels to a map of German cities
38 - Solution - Add pop-up labels to a map of German cities
39 - Challenge - Interactive choropleth of state coastline length
40 - Solution - Interactive choropleth of state coastline length

6. CRS, Projections, and Map Tiles

41 - Base maps and tiles
42 - What are projections and CRS
43 - Geographics vs. projected CRS
44 - How to choose CRS and use them with sf

Conclusion

45 - What else can you learn about creating maps in R