The course will provide an overview of spatial analysis in population and health, with an emphasis on spatial statistics and regression. In addition, the course covers the details behind the identification and use of spatial data and how to summarize spatial data in ArcGIS. Topics include:
- Demographic Uses of Spatial Data
- Sources of Geospatial Data
- Spatial Autocorrelation and Scale
- Spatial Statistics
- Spatial Regression in R
The course is open to all graduate students, postdoctoral fellows, and junior faculty from any institution. CUPC will provide a limited number of stipends to help defray the cost of travel/accommodation for the short course.
University of North Carolina at Chapel Hill
University of Colorado at Boulder
Pending approval, CU students may enroll in the course for 1.5 credits, and the CUPC will cover tuition expenses. Credit-seeking students will be expected to complete a final paper.
Please apply via email to Brian Houle (email@example.com) by April 2, 2012. Your application should include: your vita and a one-page letter of interest (including your current position and potential spatial research questions you would like to study). Decisions will be made by April 9, 2012. Supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).