Looking to strengthen your geospatial analysis and R programming skills for research or professional applications?

GEOG 600: Geospatial Data Analysis is an intensive, eight-week graduate course offered fully online and asynchronously in Fall 2026. The course provides practical, hands-on training in spatial data analysis using R, allowing students to develop valuable analytical skills while working on a flexible schedule.

Students will explore topics such as geovisualization, spatial autocorrelation, spatial regression, geographically weighted regression, spatial point pattern analysis, land-use and urban systems modeling, and planning support systems.

The course is also very relevant for graduate students working with environmental, biological, transportation, engineering, public health, policy, urban, or other location-based data.

Course: GEOG 600: Geospatial Data Analysis
Format: Eight-week, fully online asynchronous course
Instructor: Dr. Keuntae Kim, Assistant Professor (Department of Political Science and Geography)
Term: Fall 2026

Develop practical geospatial skills that can support your thesis, dissertation, research projects, and future career.

Register through the ODU Course Catalog and enroll in GEOG 600.