GIS is a useful tool for viewing spatial data and creating maps, but R can do a lot of the heavy lifting when it comes to analyzing your spatial data. We will focus on vector spatial data in this workshop (polygons, lines, points) but also touch on raster spatial data, building upon the raster workshop led by Jamie last fall. Please RSVP by filling out this google form, so we can send you a follow up e-mail with further instructions to set up your laptop.Newbies and experts are all welcome.
- reading and writing vector spatial data (shapefiles and geodatabases)
- projecting and displaying vector spatial data (incl. mapping in ggplot)
- understanding the structure of R spatial polygon objects so we can take them apart, analyze them, modify them, and put them back together again.
- using basic geoprocessing tools in R to manipulate geometry, e.g. intersect, difference, area, buffer, etc.
- working with polygons and rasters together
- checking and repairing geometries (beware of orphan holes!)
Please bring a laptop if you can, so we can work through the examples together. You can find the materials (scripts, data, and workshop notes) here: https://github.com/eco-