For this post, check out the HTML I’ve produced using R Markdown, linked to below over on RPubs!
Click here to watch my presentation on this topic at the University of Minnesota’s Day of Data event! My talk begins at 1 hour, 30 minutes, and 15 seconds in.
Here is a brief synopsis of some of the topics this post covers:
- Many disciplines have spatial questions involving polygonal areas with bendy shapes.
- R and its packages terra and sf allow us to do spatial stuff repeatably and reproducibly that we otherwise might struggle to do in GIS.
- Sometimes, straight lines don’t make sense!
- Least-Cost Path Analysis (LCPA) is cool, with many applications.
- LCPA can calculate “bendy” distances inside “bendy” polygons.
- LCPA can maybe even find evidence of gerrymandering?!
- Calculating “lake fetch” could maybe find even better evidence of gerrymandering?!
- I’d ask: Where are “bendy shapes” in your discipline? You should explore them!