[Online] Part of the RFun Series. The R language has become a popular option for working with geospatial data. Compared to traditional GIS software, the code-driven approach of R can be more reproducible and efficient. This workshop gives participants the skills to perform geospatial workflows entirely within R. We will discuss how different types of geospatial data work in R, review useful data sources, and walk through common examples of data operations. 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