For additional guidance:
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.
，推荐阅读同城约会获取更多信息
这些词放在一份硅谷顶级风投的年度展望里，多少有些违和。过去二十年，风险投资的逻辑是逃离物理世界——越轻越好，越数字化越好，最好是纯软件，边际成本为零，可以无限复制。工厂、矿山、流水线，太重、太慢、太难标准化，不是VC该碰的生意。
In the UK, a number of carbon capture clusters are under development, including Scotland's Acorn Project and the Viking project off Lincolnshire.