[In-person] The R language has became 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 give participants the skills to perform geospatial workflows entirely within R. We will discuss how different types of geospatial data work in R, walk through examples of data operations, and explore common analysis methods for geospatial data. 

This workshop is a companion to Geospatial Data in R: Mapping, which focuses on visualization more than analysis.

Attendees will need basic familiarity with R and RStudio to follow along with the exercises. Knowledge of tidyverse packages such as ggplot2 and dplyr is also helpful.

This workshop will be held in person in Bostock 127 (The Edge Workshop Room), but may move to virtual depending on Duke Coronavirus policies, health or equipment considerations. Please watch your email for updates. All participants are required to follow current Duke Coronavirus policies to attend the workshop.

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