Workshops: Geographical data and parallel computing with R (March 8) and Python (March 9)

These workshops will provide an overview of working with geospatial data and the steps necessary to turn a set of census data shapefiles into to a map viewable via a web browser. In addition, we will present an overview of parallel computing, and a demonstration of how to reduce execution time via parallel processing on the Flux cluster.  Examples will be shown using Python and R on separate days.  Each day will be self-contained.

This workshop is intended for those interested in an introduction to geospatial data analysis and/or to parallel computing. Familiarity with R, Python and similar software will help in understanding the workshop, but is not necessary to attend.

For a preview of what we will do, see http://demographics.coopercenter.org/DotMap/ which we will show reimplemented in the UM environment. No registration is required. Workshop: Geographical data and parallel computing

Both sessions will be in the Earl Lewis Room, Third Floor, Rackham Building These workshops are jointly presented by the Clark Library, CSCAR, and ARC-TS. For more information, send e-mail to:  parallel-geodata-workshop@umich.edu