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Computational Spatial Science
Unified by a common theme of computational spatial science, our research faculty provide expertise in the development, implementation and application of state-of-the-art methods of geospatial analysis to social, economic and environmental problems where the role of place, space and interaction is central. Research includes the examination of individual spatial behavior, the study of urban sprawl and neighborhood dynamics, and the analysis of regional and international economic growth and convergence patterns.
The School of Geographical Sciences and Urban Planning is home to leading scholars in the areas of spatial and space-time data analysis, geographic information science, remote sensing, cyberinfrastructure, economic systems, transportation systems, and urban and regional science. This research cluster of faculty is unified by a common theme of computational spatial science and provides expertise in the development, implementation, and application of state-of-the-art methods of geospatial analysis to social, economic and environmental problems where the role of place, space and interaction is central.
Research spans a wide array of spatial scales from the application of methods to examine individual spatial behavior to the study of urban sprawl, neighborhood dynamics, regional and international economic growth and convergence patterns.
The techniques developed and investigated are applied to better model and explain land use/land cover changes, to identify natural resource usage and transportation system efficiencies, to optimize business location and performance decisions, and to integrate socio-cultural characteristics in spatial pattern detection for environmental, health and economic contexts.
Assistant Clinical Professor
Deitrick is the program director for the Masters of Advanced Study in GIS (MASGIS) Program. Her research focuses on GIS, decision-making and uncertainty and the use of GIS in public policy decisions.
Foundation Professor
Fotheringham is a member of the U.S. National Academy of Sciences and Academia Europaea whose work focuses on the analysis of spatial data in relation to a variety of areas including health data, crime patterns and migration.
Assistant Professor
Frazier’s research interests focus on the integration of remote sensing, GIS, and landscape ecology to study global environmental change.
Research Professor
An elected member of the National Academy of Sciences and Foreign Member of the Royal Society of Canada, Michael Goodchild is a global leader in Geographic Information Science.
Professor
Kuby specializes in transportation, energy, optimal facility location and network design models, and alternative fuels, stations, and vehicles. His research has been funded by NSF, U.S. Dept. of Energy, and NASA.
Associate Professor
Li's work in geographic information science aims to develop integrated and smart cyber-infrastructure to revolutionize knowledge discovery. Li is a 2015 recipient of the National Science Foundation's CAREER award.
Director and Foundation Professor
Nelson's work currently focuses on using spatial and spatial-temporal analyses to track wildlife movement and active transportation. She is also the founder of BikeMaps.org, a crowdsourcing app for bike safety and ridership.
Professor
O hUallachain's research interests include economic, industrial location, urban and regional economic development.
Associate Professor
Tong's research primarily focuses on the use of spatial analytics including spatial optimization, geographic information system, and spatial statistics to support urban and regional studies concerning location.
Dean & Professor
Her research interests include: shape and pattern analysis, geographic information science, applications of GIS to urban environment, urban remote sensing and water resource management.
Assistant Research Professor
Werth's work engages in the monitoring, modeling and forecasting the Earth's water mass budget variations using remote sensing data.
Interested in Graduate Research?
Graduate students have the opportunity to explore a wide range of research experiences — from traditional research with a single faculty member to highly interdisciplinary and collaborative projects.