Geographical Information Systems (GIS) and Environmental Modeling
My research has been shaped by strong geographic questions and why space matters in humankind’s quest to understand the earth processes and social interactions. I continue to research in four integrated areas: 1) Spatiotemporal data mining, 2) GIScience and environmental modeling, 3) GIS and Public health, and 4) Remote Sensing of the environment. The spatiotemporal data mining line of my research investigates the use of cluster detection techniques for pattern recognition in massive spatial databases specifically in the subfields of public health, environmental health and exposure, and land system change. The GIScience and environmental modeling focuses on spatial modeling and statistical techniques to understand human-environment dynamics. The GIS and Public health line of research investigates the role location and the physical environment play in increasing energy consumption and decreasing energy expenditure and vice versa. Specifically, this line of research examines the spatiotemporal dynamics of overweight and obesity in youth in the United States. The Remote Sensing of the environment research deals with interpreting remotely sensed data for land use and land cover changes to characterize neighborhoods using high resolution data such as Light Detection and Ranging (LiDAR).