This course will focus on developing spatial questions, visualizing spatial data, and creating statistically sound analysis plans for spatially relevant data. Specifically, the course will include techniques within the ArcGIS environment to visualize and explore spatial data, assess geographic clustering, and perform basic spatial prediction. The course is designed to provide a foundation in spatial statistics and highlight key caveats and questions to consider when working with spatial data. Prospective attendees should have working/intermediate knowledge of ArcGIS. All tools and data will be available on site using tools available to all Yale faculty and students.
Intermediate Spatial Analysis will be offered on 4/12 as a follow-up to this workshop. Please register if interested: http://schedule.yale.edu/event/3228646
Workshop taught by StatLab consultants Kate Hacker (YSPH) & Henry Glick (FES)