Spatial Informatics

Spatial Informatics represents an overarching umbrella for studying theories, methods, and applications of spatial analysis/modeling; and spatial data handling, management, and visualization. Spatial informatics research and education are becoming increasingly important as data-intensive, large-scale, and/or multi-scale problems that involve the use and development of GIS (Geographic Information Systems) and spatial analysis/modeling are becoming ubiquitous in scientific discovery and decision-making in many fields.

Examples of research themes include development of new theories, methods and software in GIScience (Geographic Information Science), policy and user issues of GIS, geospatial data accessibility, spatial decision support systems, geospatial problem solving environments, and novel applications of GIS such as in Business, Earth sciences, Environmental Science and Engineering, Epidemiology, Geography and Regional Science, Natural Resource Management, and Urban and Regional Planning.


Area LeadsFaculty AffiliatesPhD Students
Name Email Department

Shaowen Wang Geography
Name Email Department

Diana Grigsby-Toussaint

Robert Brunner Accountancy

Luis Rodriguez Agricultural & Biological Engineering

Atul Jain Atmospheric Sciences

Unnati Narang Business Administration

Arthur Schmidt CEE

Christopher Tessum CEE

Praveen Kumar CEE

Nicolas Martin Crop Sciences

Eboni Zamani-Gallaher Education Policy, Organization and Leadership

Mei-Po Kwan Geography

Sara McLafferty Geography

Shaowen Wang Geography

John Randolph History

Yu-Feng Lin IL State Geological Survey

Alexander Michels Informatics

Kiumars Soltani Informatics

Moazam Hakim Informatics

Eunice Santos iSchool

Jing Rui He iSchool

Andrew C. Phillips ISGS

Arden Rowell Law

Kaiyu Guan Natural Resources and Environmental Sciences

Bo Li Statistics
Name Email Area

Moazam Hakim Data Analytics and Information Visualization
Design, Technology and Society
Spatial Informatics

Alexander Michels Spatial Informatics


Application CoursesFoundation Courses
Number Title Notes
PATH 560 Spatial Epidemiology
UP 519 Advanced Applications of GIS
Number Title Notes
CS 512 Data Mining Principles
IS 507 (formerly taught as IS 542) Data, Stat and Info
STAT 525 Computational Statistics