When you think of making maps, you probably think of complicated, expensive tools like ArcGIS. What if I told you that you could make maps with R, a tool you already know how to use?
You don’t need to invest hours and hours learning a completely new tool. And you don’t need to invest hundreds or thousands of dollars for a license to use that tool.
In recent years, R has become a fully-fledged tool for doing geospatial work. You can clean, wrangle, and analyze geospatial data with R. And of course, you can make maps with it.
Not just any maps. Beautiful maps like these.
With R, you can make choropleth maps, hexbin maps, you name it. Any type of map you can think of, you can make it in R.
Mapping with R will help you do all of this. You’ll learn the fundamentals of working with geospatial data in R. You’ll learn to create high-quality static maps. And you’ll even learn how to make interactive maps.
Don’t waste your time and your money learning to make maps in other tools. R is a fully-fledged map making tool that is just waiting for you to use it. Get started today and you’ll be making maps in R in no time.
Group Discounts Available
25% discount available for groups of 3+. Enter your information to get more details.
Are there any prerequisites for this course?
You should be familiar with the fundamentals of the tidyverse (see the content in the Fundamentals of R course) before taking this course.
Can I get a refund if I’m not satisfied?
Absolutely! If you are unsatisfied with the course for any reason, contact me and I will give you a full refund, no questions asked.
Is this course live or self-paced?
It is entirely self-paced, giving you the freedom to learn whenever and wherever you’d like to.
Does my access to the material expire at any point?
Nope! Sign up now and you’ll have access to the course forever.
Does this course focus on making US-focused maps?
Nope! There is one lesson on making maps with US-focused data (and another on finding data from places around the world), but the lessons are almost all focused on general concepts of mapping.
About the Instructor
A UK-based data science consultant and open data evangelist, Charlie has worked in reproducible research and making research accessible since 2012.
She has taught R at the University of Oxford, LinkedIn Learning, and as part of R in 3 Months.