Sipping from the Data Firehose: Insights from Bayesian Inference, Power Computing, and Generalization

Jeffrey Cardille is a professor at McGill University who studies land-cover change, forest connectivity, and lake carbon content. He works on large environmental questions at regional, continental, and global scales using a wide variety of approaches, including remote sensing, GIS, supercomputing, simulation modeling, and cutting-edge techniques in computer science. His research focuses on both basic and applied questions of environmental change across large areas, paying particular attention to issues having an explicit spatial component. Professor Cardille group’s research addresses several disciplines, including landscape ecology, remote sensing, and data handling and visualization.