JmsPae

You know it's a banger proposal when even the Swedish armed forces tells you "Please don't".

https://github.com/georust/rstar

Banger library. Not sure how it compares to, say, kd-tree in terms of performance but it allows for plenty of primitives.

I thought to include metro stations mostly because of the nature of the original French subreddit (https://www.reddit.com/r/MetroFrance/comments/1hcifh1/pas_vu...). It perhaps doesn't make much sense in hindsight, but I also filtered out metro stations later on in the post and it didn't change much.

I'm starting work on a follow-up which will sample more cities, though I still plan to use walking distances w network analysis for now.

Hi there, "OP" here.

First off, it's been fun to see this post spread across the interwebs since I first wrote it one caffeine-fueled day just over a week ago (first Menéame, now here) and for the heck of it, I thought I would clarify a few things;

This post was (sortof) a meme. Sure, I "understood the assignment" and performed the quick "study" ("analysis" might be more fitting) for the sake of the original post over on r/gis, but I was surprised to see how seriously others took the matter. I suppose good kebabs are a serious matter.

As others have pointed out, a linear correlation was likely a flawed approach for testing the "hypothesis". Though the original wording from the french post which first brought this to my attention implied as much, in hindsight it's likely that the kebab shops within a certain radius are on average worse than the rest.

Also, it seemed that Paris was one of the worse study areas. It, apparently, has some very good kebab shops that just so happen to be in close proximity to train stations.

I suppose I need to start working on part 2....