Efficient geo-spatial radius queries on a given dataset are a problem that we’re very regularly facing. Usually we handle the problem by spinning up a PostgreSQL database and installing PostGis with all its nice and efficient spatial indexing capabilities.
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Geohash is a geocoding system invented by Gustavo Niemeyer and placed into the public domain. It is a hierarchical spatial data structure which subdivides space into buckets of grid shape, which is one of the many applications of what is known as a Z-order curve, and generally space-filling curves.
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I’ve had a theory that for every Noodles, there’s a Qdoba that’s right next door. It might be some sort of selection bias however, since I can think of a couple locations where they’re directly next to each other.
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