Get access to all lessons in this course.
- Welcome to Mapping with R (01_01)
-
Geospatial Data
- Making Maps is Complex (01_02)
- mapview for Quick Maps (01_03)
- sf for Simple Features (01_04)
- Turning Data Frames into sf Objects (01_05)
- Importing Shapefiles (01_06)
- Joining Geospatial Datasets (01_07)
- Disambiguating Country Names (01_08)
- Converting Addresses to Coordinates (01_09)
- U.S.-Specific Datasets (01_10)
- Advice on Finding International Datasets (01_11)
- CRS and Projections: Geographic and Projected CRS (01_12)
- CRS and Projections: How to Choose a CRS (01_13)
- Introducing Raster GIS with raster and stars (01_14)
- Basics of Using the raster Package (01_15)
-
Static Maps
- ggplot2 Essentials (02_01)
- Starting a Map in ggplot2 (02_02)
- Labelling ggplot2 Maps (02_03)
- Compare Locations/Events with Geobubble Charts (02_04)
- Highlight a Region in a Country with ggplot2 (02_05)
- Make a Choropleth Map of Discrete Variables with ggplot2 (02_06)
- Make a Choropleth Map of Continuous Variables with ggplot2 (02_07)
- Faceting Choropleth Maps with ggplot2 (02_08)
- Visualize Raster Data with ggplot2 (02_09)
- Adding Scale Bars and North Arrows with ggplot2 (02_10)
-
Interactive Maps
- What is leaflet? (03_01)
- Starting a Map in leaflet (03_02)
- Necessary HTML for Labelling leaflet Maps (03_03)
- Highlight a Region in a Country with leaflet (03_04)
- Compare Locations/Events with Geobubble Charts in leaflet (03_05)
- Make a Choropleth Map of Discrete Variables with leaflet (03_06)
- Make a Choropleth Map of Continuous Variables with leaflet (03_07)
- Visualize Raster Data with leaflet (03_08)
-
Wrapping Up
- You Did It!
Mapping with R
Faceting Choropleth Maps with ggplot2 (02_08)
This lesson is locked
This lesson is called Faceting Choropleth Maps with ggplot2 (02_08), part of the Mapping with R course. This lesson is called Faceting Choropleth Maps with ggplot2 (02_08), part of the Mapping with R course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Your Turn
Open project 02_08
.
Recreate this facetted choropleth from the your-turn.R
script.
Create a vector containing the correct order of educational attainments
Use
fct_relevel()
to reorder the facet labels.
Learn More
As mentioned in the video, small multiples is a data visualization technique that {ggplot2} makes really easy with the facet_wrap()
and facet_grid()
functions. The facet_grid()
function allows you to facet by two categorical variables, eg
library(tidyverse)
library(palmerpenguins)
penguins %>%
ggplot(aes(x = bill_length_mm,
y = bill_depth_mm)) +
geom_point() +
facet_grid(species ~ island) +
theme_gray(base_size = 16)
It's also possible to do this two-level faceting for your choropleth!
The solution I've given for the your turn example isn't completely perfect because the facet labels are slightly cut-off - take a look at the bottom of the g's! To fix this you need to know that the facet labels are called "strip" in the {ggplot2} theme and you can tidy up these labels as follows:
gg_faceted_choropleth +
theme_void() +
theme(strip.text.x = element_text(margin = margin(b = 1, t = 0)))
You need to be signed-in to comment on this post. Login.