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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这种转向并非中国平台的独有选择。在电商领域，海外平台已形成履约服务、广告与工具的组合收入结构；在出行领域，广告与数据相关收入也逐步成为新的增长点。不同市场、不同监管环境下的平台，正在沿着相似的路径，将收入从交易本身，转移至流量、服务与基础设施层面。
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it is worth optimising.
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