Build the Spatial Data Skills You Need for Research, Planning, and Policy Analysis!
Looking to strengthen your GIS and spatial analytics skills for graduate research, applied policy work, or professional practice?
GEOG 600: Geospatial Data Analysis is an 8-week online asynchronous graduate course designed to help students develop practical spatial data analysis skills using R. The course introduces applied methods for working with geographic data, spatial relationships, and urban/regional patterns.
Students will gain hands-on experience with topics such as:
- Spatial regression techniques, including GWR
- Spatial filtering and spatial autocorrelation
- Spatial point pattern analysis
- Land use modeling and urban systems
- Planning support systems and applied GIS workflows
This course is especially relevant for graduate students interested in GIS, urban planning, geography, environmental analysis, public policy, transportation, public health, coastal resilience, and data-driven decision-making.
Course: GEOG 600: Geospatial Data Analysis
Format: 8-week online asynchronous graduate course
Term: Fall 2026
Instructor: Dr. Keuntae Kim
Register for GEOG 600 and build the spatial analysis skills that can strengthen your research, thesis/dissertation work, and professional portfolio.
