Some people who want to do spatial (geographic) analysis don’t know GIS software such as ArcGIS Pro or QGIS, but do know R or Python. In this workshop, we will present a command-line, or code-driven, approach to working with geospatial data. This method offers several advantages over traditional GIS software that can make your work easier, faster, and more reproducible!

We will share a showcase of spatial data science workflows that demonstrate the possibilities opened up by tools available from the command-line and scripting for processing, analyzing and visualizing data. 

This workshop would be helpful for participants with some GIS experience who want to expand their data science toolkit, or for those who currently use R and/or Python and are curious about the geospatial capabilities of these languages. 

Some basic familiarity with programming in R and/or Python will make this workshop more useful. We encourage anyone without this background to attend (or watch a recording of) our Introduction to R or Python for Data Science workshops.

This event is offered virtually in accordance with Duke's Coronavirus events policies. A Zoom link will be emailed to registered participants. 

The content of the workshop may be recorded. If you are uncomfortable with a recording being published please contact the instructor at any time prior to the conclusion of the workshop.

Mapping & GIS, Data Science