Teaching Data Carpentry
There's been interest in content for Software and Data Carpentry for Geoscience audiences and already some great resources and ideas.
Are there existing Geospatial lessons that if not SWC/DC already could be adapted for either? What topics are important to teach in a Geospatial Carpentry workshop at the introductory or more advanced levels?
I don't know if there are existing lessons, but here are a few general thoughts from my limited experience at attempting to use geospatial data in R for ecological analysis
- Projections -- what are they and how to transform between them
- Common data formats, importing and transforming
- Points, lines, polygons and rasters
- "Joining" data in different forms (points in polygons, raster values in polygons, buffering ...)
Alot of that may be beyond what one could do in a workshop setting. (1) and (3) are probably the most important concepts to communicate.