Analyzing large spatial data sets in R - Douglas Nychka

This will be a short tour through the LatticeKrig package. Designed to handle monster spatial problems on a laptop.
The trick is to use approximate spatial models that focus on the inverse of the covariance matrix (aka precision matrix). The precision matrix tends to be sparse and this is exploited for fast linear algebra on large matrices.

Douglas Nychka

Professor, Applied Mathematics and Statistics,
Director, Data Science Masters Program
Colorado School of Mines
Senior Scientist Emeritus, National Center for Atmospheric Research

Following tradition, the speaker will start at 7:30 allowing some time for socializing. Afterwards, some will likely cross the street to the Denver Beer Co.