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.
"That temperature is pretty nice here, really," he says. "Minus five is as warm as it gets. It can get down to about -40, but you're looking at about -20 being the average."
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