Intro to Spatial Analysis in R, with particular focus on the social sciences

Description: Transforming GIS workflows to open source programming languages is an affordable, scalable process that can link research teams across disciplines and make research more reproducible. In this workshop we walk through the basics of R for spatial analysts. We will also geocode resources, pull census data and boundaries using tidycensus, generate a simple accessibility metric, and make several maps. We use tutorials from our new opensource toolkit generated to measuring the opioid risk environment for an NIH-funded program. Total R beginners welcome, though we encourage a review of basics prior to the workshop (will be sent after registration).

Instructors:

• Marynia Kolak, Assistant Director for Health Informatics, The Center for Spatial Data Science, University of Chicago
• Qinyun Lin, Postdoctoral Scholar, The Center for Spatial Data Science, University of Chicago
• Moksha Menghaney, Community and Mapping Analyst, The Center for Spatial Data Science, University of Chicago

 This workshop was full!  If you are interested in being on a waiting list or being advised of another session, you can add your name via this Google form. 

A recording of the session can be found here - https://youtu.be/oz6O2yGh768