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CDVS Workshop: R for Lunch: Geospatial data

Speaker

Drew Keener

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. 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.

Categories

Research, Technology, Workshop/Short Course