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Geospatial Data in R: Processing and Analysis

[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, walk through examples of data operations, and explore common analysis methods for geospatial data. 

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.

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

Date:
Wednesday, September 28, 2022
Time:
1:00pm - 3:00pm
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization  

Registration is required. There are 50 seats available.

Event Organizer

Drew Keener
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Center for Data and Visualization Sciences