We develop and apply cutting-edge methods for analyzing spatial and space-time data from GPS-enabled devices, satellites, drones, sensor networks, and administrative records. Our approaches are often dynamic, multiscalar, place-based, and context-aware. Application areas include modeling of vegetation change, human mobility, environmental hazards and exposures, climate change impacts, transportation processes, and health and wellbeing.
Faculty working in Space-Time Analytics
James Leonard Best
Professor
Chunyuan Diao
Associate Professor, Director of Graduate Studies
Marynia Aniela Kolak
Assistant Professor
Mark Jason Lara
Associate Professor
Jida Wang
Associate Professor
Shaowen Wang
Professor and Associate Dean for Natural and Mathematical Sciences, College of Liberal Arts & Sciences
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