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College of Natural Resources

Center for Geospatial Analytics

Brian uses geospatial analytics to explore patterns in data from the environmental, physical and materials sciences. He develops approaches using spatial statistics, extreme value analysis, quantile regression, variable selection and dimension reduction. His interests include both methodological questions in statistics and applications of statistical methods to problems such as air pollution and climate change.

As part of the Environmental Statistics Lab, Brian and his students model spatiotemporal processes and develop computational methodologies for handling massive datasets.



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