May Yuan Is Ashbel Smith Professor of Geospacial Information Sciences and Director of the Geospatial Analytics and Innovative Applications Laboratory. Her research has developed new data models and analysis methods to address an ever growing list of problems, including:
- Wildfire Risk
- Tornado Hazard
- Air Pollution
- Species Distribution
- Infectious Disease
- Hazardous Waste Transport
- Offender Monitoring
Elected 2020 fellow of the American Association for the Advancement of Science (AAAS) "for her contributions to fundamental and applied geographic information science (GIS), especially for developing new data models and analytical methods to address problems of significant societal concerns."
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Network-Based Likelihood Modeling of Event Occurrences in Space and Time: A Case Study of Traffic Accidents in Dallas, Texas, USA We propose a novel approach to network-based event likelihood modeling that estimates the probabilities of event occurrences on a network and identifies the influences of site and situation characteristics. Our premise is ...