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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在「快速達到流利程度」的承諾之外,各種新方法與科技已經徹底改變我們在時間越來越匱乏的時代如何學習語言。其中之一是「微學習」(microlearning)——這種方法將新資訊拆分成小小片段,讓人們能在極短時間內吸收,有時甚至短至幾分鐘或幾秒鐘。它建基於一項稱為「遺忘曲線」的概念:當人們一次接收大量資訊時,隨著時間推移記住的內容反而會更少。