Make a Choropleth Map of Discrete Variables with ggplot2 (02_06)

This lesson is called Make a Choropleth Map of Discrete Variables with ggplot2 (02_06), part of the Mapping with R course. This lesson is called Make a Choropleth Map of Discrete Variables with ggplot2 (02_06), part of the Mapping with R course.

Transcript

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Your Turn

Open up the 02_06 project.

Use the your-turn.R script in 02_06 to make this map.

Use the custom colors.
Ensure the guide is ordered by size of region.
Add a title to the guide.

Learn More

In this video there was quite a lot of information about how to work with factors using the {forcats} package.

While factors are part of base R it’s fairly painful to manipulate the levels of factors without the {forcats} package. The factors chapter of R for Data Science gives a great overview of both factors and {forcats}.

The paletteer package is an excellent resource for discovering useful color palettes. However, it’s very important to consider if your maps will make sense to readers with color blindness. Thankfully, the {colorblindr} package simplifies this with the following code:

remotes::install_github("wilkelab/cowplot")
colorblindr::cvd_grid(your_gg_map)

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

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Kristina Bratkova • March 5, 2022

Hello,

thanks for this clear video. I was wondering if lines 37-38 are redundant if scale_fill_manual is used? (scale_fill_manual is set by the ordered factor given in the list of colours (which was set by base R syntax to be in order of descending area of the region))

Oscar Tetteh • April 7, 2023

Hello Charlotte,

I am trying to relate this to my current research. I have a shapefile and data sets. The aim is to map the data set to the shapefile. could you please help me with the codes or a recommendation?

Thank you