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Geospatial Data in R

[In-person] 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. 

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.

Data Science, Mapping & GIS

Date:
Tuesday, October 7, 2025
Time:
10:00am - 11:30am
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization  
Registration has closed.

Event Organizer

Drew Keener
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Center for Data and Visualization Sciences