Environmental Statistics

Turning your desktop to a Supercomputer with ExaGeoStatR

1 min read · Mon, Sep 7 2020

Maximum Likelihood HPC Environmental Statistics

Turning your desktop to a Supercomputer with ExaGeoStatR Download at https://github.com/ecrc/exageostatR. Remember the old times where you had to leave your R simulations running for the whole night on your desktop due to a large climate/weather dataset? ExaGeoStatR combines the user productivity of R with high performance computing linear algebra software libraries to deliver supercomputing-style environment right below your desk. ExaGeoStatR enables computing the maximum likelihood using large environmental datasets on R, while extracting performance from the underlying hardware resources

A model for millions of locations

1 min read · Tue, Aug 23 2022

climate change Environmental Statistics modeling statistics

CEMSE statisticians developed a framework which enables modeling of a range of meteorological and environmental datasets from up to 2 million locations globally.