bramson

As a concrete example of this feature (which I already would love to have), the OSM PBF file for my relevant region is all of Kanto (which is 7 prefectures...

Okay, I don't really understand the details of PBF, or anything you said in the last paragraph, but I'll take your word for it that what I imagined is not...

As for getting data by name, without a reference to what areas are given which labels, it's impossible to use this reliably, especially for Japan. For example, `osm = OSM(get_data("tokyo"))`...

Hmmmm Using a buffer to accomplish this is a poor solution for two main reasons: (1) Missed edges: Any feature longer than the chosen buffer size that spans the boundary...

Thanks again for your hard work and detailed feedback. Your workflow is exactly as I imagined it. Because the OSM format is strongly node-first, with everything built from them, it...

Yes, it is the `get_network` step that takes the most time. I didn't realize THAT was the step where the filtering happened. I thought it happened in the reading step:...

Along these lines, I tried to export the networkX graph as a JSON as I usual do, but it threw a "TypeError: Object of type 'CRS' is not JSON serializable"....

1. I will try the `osmnx_compatible=False` setting, and see if it is equivalent to what I expected. 2a. Yes, I would like to output both nodes and edges of a...

Yes, I think you are correct that the conversion should really be a part of NetworkX. I actually searched the interwebs for how to export NetworkX to GeoJSON, but it...

Considering your motivation for having these CD algorithms available to the widest possible research audience, having a working conda install is a great idea. However, I tried this, and it...