My general research interests fall under what is now termed 'Spatial Data Science'-- a rapidly growing research area at the intersection of GIScience and Data Science that is uniquely positioned to address data-intensive, location-based modern science problems at scales ranging from communities to global. While my research has addressed issues as broad as location privacy, voting patterns, animal movement, environmental justice, climate change, invasive species, forensic palynology, human health, and disease spread, the common theme has always been the extension or development of sophisticated spatial methods and attention to spatial issues such as scale, autocorrelation, nonstationarity, and uncertainty.
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