Spatial modelling of species distribution encompasses a suite of quantitative methods for predicting where organisms occur and how their ranges respond to environmental variation. These approaches ...

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the growing effects of global warming, these disaster risks are heightened with ...

Jeongwon is a Ph.D. student in the Department of Geography at the University at Buffalo. She has a background in GIS engineering, specializing in working with spatial big data and spatial data ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...