Jay Lee’s interests center on relating geographic events and patterns through time and space, including quantitatively modeling changing geographic events as diffusing spatial processes. This may be applied to many aspects of daily life: land use, air pollution, crime, public health, and how all these interact with environment. Some of Lee’s publications and research grants have involved digital elevation models, environmental conservation, GIS, web-based GIS, urban growth, urban sprawl, management of urban growth and areal health disparities. Recent work includes developing an urban growth simulator, an environmental pollution simulator and an urban crime simulator. Currently, Lee’s team is developing a simulator that uses agent-based models to simulate how neighborhoods develop disparities in public health.
Professor | Department of Geography
Geographic Information Science