Technologies used: Leaflet (frontend) Turf (Geojson generation and Voronoi generation)
I noticed that my neighborhood is all Lawsons, so I got the location of all Conbinis and ran some basic analysis to see if these pockets of brand territory are common.
I haven’t worked much with web frontends before, so feedback is welcomed. I also have some ideas to maybe expand upon, like making the territory calculations based on streets and other geographical features rather than just beeline distance.
The site isn’t tested too much on mobile yet, but should be ok.
Currently the frontend code and geojson files can be found at the public repo: https://github.com/kikkia/ConbiniWars. I will upload the backend code soon as I am cleaning it up and reorganizing it.
Holy crap, I popped on to see it and ended up spending about 15 minutes playing around. Fun!
absolutely fascinating that this can be done . Stuff like this used to be bespoke consulting, if you could add demand. I don’t know if aggregrate mobile phone location data can be sourced for free from the antennas/towers, this would add a “where is the demand” on an hour by hour basis.
On the other hand, if actual mobile phone location data could be sourced for free, then you could track every person and foreigner in Japan. Real time.
[deleted]
7-11 gang rise up !!
Where’s my boy Daily Yamazaki?Â
This is pretty cool. Gonna save it to play around with it while in the shitter
It feels like everywhere I go from Sapporo to Naha, Lawson & Family Mart dominate the competition. Maybe 7Eleven gets a hold of the smaller neighborhoods/towns.
This is awesome! Where did you find the geojson file for all conbini in Japan? I had been looking for one before and couldn’t find anything.
Whatever happened to AMPM and Popra
This is amazing and I love you for it.
Well done, this is very fun to play around with!
Very very cool!
Great project, well done! Loads well on mobile
I started looking into some more data to try and find a data layer,
Be interesting if you could do it with drug stores, my neighborhood is in the midst of a war of them. 3 of them directly next door to each other kirindo, kokokarafine and Sugi.
16 comments
Technologies used: Leaflet (frontend) Turf (Geojson generation and Voronoi generation)
I noticed that my neighborhood is all Lawsons, so I got the location of all Conbinis and ran some basic analysis to see if these pockets of brand territory are common.
I haven’t worked much with web frontends before, so feedback is welcomed. I also have some ideas to maybe expand upon, like making the territory calculations based on streets and other geographical features rather than just beeline distance.
The site isn’t tested too much on mobile yet, but should be ok.
Currently the frontend code and geojson files can be found at the public repo: https://github.com/kikkia/ConbiniWars. I will upload the backend code soon as I am cleaning it up and reorganizing it.
Holy crap, I popped on to see it and ended up spending about 15 minutes playing around. Fun!
absolutely fascinating that this can be done . Stuff like this used to be bespoke consulting, if you could add demand. I don’t know if aggregrate mobile phone location data can be sourced for free from the antennas/towers, this would add a “where is the demand” on an hour by hour basis.
On the other hand, if actual mobile phone location data could be sourced for free, then you could track every person and foreigner in Japan. Real time.
[deleted]
7-11 gang rise up !!
Where’s my boy Daily Yamazaki?Â
This is pretty cool. Gonna save it to play around with it while in the shitter
It feels like everywhere I go from Sapporo to Naha, Lawson & Family Mart dominate the competition. Maybe 7Eleven gets a hold of the smaller neighborhoods/towns.
This is awesome! Where did you find the geojson file for all conbini in Japan? I had been looking for one before and couldn’t find anything.
Whatever happened to AMPM and Popra
This is amazing and I love you for it.
Well done, this is very fun to play around with!
Very very cool!
Great project, well done! Loads well on mobile
I started looking into some more data to try and find a data layer,
Wow, over 57,000 locations currently open, plenty of snacks to choose from:
https://uub.jp/pdr/m/c.html#1
Very cool. You did a great job on the site.
Be interesting if you could do it with drug stores, my neighborhood is in the midst of a war of them. 3 of them directly next door to each other kirindo, kokokarafine and Sugi.