Learning objective suggestions:
- Conduct distance/proximity-based analysis for points, lines, polygons
- Create buffers
- Compute nearest neighbors
Typo in "Important": *unprojected. I'd also rephrase the advantage of Cartesian versus polar systems and why Cartesian is superior in your use case. Is it because the units are more granular, scalable, and easier to work with?
Conceptually, it would be great to have more context about what a buffer actually is and how it operates before getting to any code. I'm not entirely clear on that. To me, a buffer is somewhere to store something (like an array) but this may be related to the Pythonic Buffer Protocol..
A graphical illustration of Nearest Neighbor may also be really helpful here. Maybe something simple like this?
Learning objective suggestions:
Typo in "Important": *unprojected. I'd also rephrase the advantage of Cartesian versus polar systems and why Cartesian is superior in your use case. Is it because the units are more granular, scalable, and easier to work with?
Conceptually, it would be great to have more context about what a buffer actually is and how it operates before getting to any code. I'm not entirely clear on that. To me, a buffer is somewhere to store something (like an array) but this may be related to the Pythonic Buffer Protocol..
A graphical illustration of Nearest Neighbor may also be really helpful here. Maybe something simple like this?
