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Saturday, March 8, from 9 a.m. - 12:30 p.m.
Cost: $40
Instructors: Allie Kanik, Hearst; Ryan Little, Baltimore Banner; Cam Rodriguez, The New York Times
Let's face it, QGIS is the Excel of geospatial analysis. Sure, doing simple mapping in it and ArcGIS is a blast, but executing complex, reproducible joins and measurements can be a real drag. Taking a more scripted approach is way less of a buzzkill, especially when you need to revisit your earlier work or share with others. Whether you choose R or Python, follow along from mapping basics to more complex techniques that will make your next geospatial analysis a walk in the park. Cut loose, write some replicable code and have fun with shapes!
Prerequisites: To get the most out of this session, you should have a working knowledge of both GIS/mapping techniques and some experience with either Python or R.
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