Its founder Vaughan Smith, who was also in the Army, said: "He was one of the characters – those people who stand out because everybody adores them and they make you feel better."
Creating a decentralised site reliant on moderators has also proved problematic at times.
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The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.
def __init__(self, csv_path: str):