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dotmap_workshop

Geographical data and parallel computing with R and Python

This is the repository for files to accompany the Geographical data and parallel computing with R and Python workshop jointly offered by the Clark Library, CSCAR, LSA IT, and ARC-TS.

This workshop 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.

Accompanying files can be viewed in the GitHub repository.