Simplification of street networks
I have been working with street networks for a long time. My first analysis will date probably back to 2017 or so. Most of those focused on the same aspect - understanding the morphology. Yet, practically none of the networks I was able to obtain reflected morphology directly. Rather, they captured transportation networks, with all the detailed intersections, every tiny roundabout, slipway, double carriageway, and so on. Which is pretty annoying when you are interested in a representation of space, not of traffic lines. It bothered me so much that in 2020, I started exploring ways to simplify such transportation networks to morphological ones. And a couple of days ago, we have released a Python package called neatnet That does exactly that. ...