Mathematical methods for location-based data.
Spatial statistics develops mathematical and computational methods for analyzing data where location and spatial relationships are fundamental components. This field addresses how observations at different locations relate to each other and how spatial patterns can be understood, modeled, and predicted.
Faculty exploring spatial analysis.
Dan Kowal
Associate Professor of Statistics and Data Science
Dan Kowal
Associate Professor of Statistics and Data Science
Contact
dan.kowal@cornell.edu
David S. Matteson
Professor, Statistics and Data Science, Director of the National Institute of Statistical Sciences
David S. Matteson
Professor, Statistics and Data Science, Director of the National Institute of Statistical Sciences
Contact
Matteson <at> cornell <dot> edu
