[Online] Part of the RFun Series. This workshop introduces the use of the R language for producing maps. We will demonstrate the advantages of a code-drive approach such as R for visualizing geospatial data. Participants will gain the skills to quickly and efficiently create a variety of map types for a website, presentation, or publication. In addition to working on hands-on coding exercises, we will also review practical guidance on designing effective maps. This event is open to non-Duke participants.

R for Lunch is a one-hour lunchtime series designed to help people learn R for reproducible computational thinking. R is a data science and data visualization tool which, when combined with RStudio, the Tidyverse, and Quarto, provides a powerful and flexible environment for reproducible research.

A zoom link will be sent via email to registered participants to join the workshop.

NOTE:  Must have an up-to-date installation of RStudio.  (RStudio > Help > Check for Updates)

The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at any time prior to the conclusion of the workshop.

Mapping & GIS, Data Science