Open starsep opened 11 months ago
I've investigated this brand in the past and found that they appear to be using an unknown coordinate system, possibly a deliberately obscured one as I think I tried all the usual CRS' particularly those local to Japan. It's worth having another look to see whether they've changed the CRS, or we can figure out the CRS they are using.
WGS 84 multiplied by 3600 is a good (but not good enough) approximation. I tested stores next to Tokyo Shinjuku, Nagasaki, and Sapporo train stations.
from dataclasses import dataclass
import pyproj
@dataclass
class Point:
x: float
y: float
lat: float
lon: float
points = [
Point(y=502926.8472, x=128468.0448, lat=35.68908, lon=139.69831),
Point(y=467535.0312, x=117897.5232, lat=32.75234, lon=129.86882),
Point(y=508871.8044, x=155040.2784, lat=43.06910, lon=141.34991),
]
geod = pyproj.Geod(ellps="WGS84")
for point in points:
lat, lon = point.x / 3600, point.y / 3600
distance = int(geod.inv(lon, lat, point.lon, point.lat)[2])
print(f"{distance} metres. {lat}, {lon} <-> {point.lat}, {point.lon}")
507 metres. 35.685568, 139.70190200000002 <-> 35.68908, 139.69831 385 metres. 32.749311999999996, 129.870842 <-> 32.75234, 129.86882 379 metres. 43.066744, 141.35327900000001 <-> 43.0691, 141.34991
Is this the same as
FamilyMart Co., Ltd.
Japanese retail chain company
Q1191685 https://www.wikidata.org/wiki/Q1191685 https://www.wikidata.org/wiki/Special:EntityData/Q1191685.json
Official Url(s): https://www.family.co.jp/english/company.html
pipenv run scrapy sf --brand-wikidata=Q1191685 https://www.family.co.jp/english/company.html
Official Url(s): https://www.family.co.jp/company.html
pipenv run scrapy sf --brand-wikidata=Q1191685 https://www.family.co.jp/company.html
Brand name
Family Mart
Wikidata ID
Q1191685
Store finder url(s)
https://as.chizumaru.com/famimatg/top?account=famimatg&accmd=0