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.
If those don’t render for you for whatever reason, UPPER_HALF_BLOCK is a square that takes up the full width and upper half of a character, and FULL_BLOCK is a rectangle that takes up the full width and height of a character.
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