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 […]
