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BEGIN:VEVENT
DTSTART:20240208T170000Z
DTEND:20240208T180000Z
DTSTAMP:20240208T000000Z
SUMMARY:R for Lunch: Geospatial data
DESCRIPTION:[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.\n\nR 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. \n\nA zoom link will be sent via email to 
 registered participants to join the workshop.\n\nNOTE:  Must have an 
 up-to-date installation of RStudio.  (RStudio > Help > Check for 
 Updates)\n\nThe 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.\n\nMapping 
 & GIS\, Data Science
LOCATION:n/a
ORGANIZER;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
CATEGORIES:Data and Visualization
CONTACT;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
STATUS:CONFIRMED
UID:LibCal-11646631
URL:https://duke.libcal.com/event/11646631
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