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.
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【文字更正】12月23日新媒体稿件《个人养老金被悄悄开户，银行别把好事办坏了|新京报快评》（编辑 何睿 校对 李立军）倒数第二段“把个人养金推广弄成一锅‘夹生饭’”一句中，“养金”应为“养老金”。本报谨就以上错误和疏漏向读者和相关单位、人士致歉。挑错热线：010-67106710栏目编辑：朱名恬SourcePh" style="display:none"
其中 λ≈1.05，α≈1.67。