Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
我們需要對AI機器人保持禮貌嗎？。业内人士推荐heLLoword翻译官方下载作为进阶阅读
FT Digital Edition: our digitised print edition，详情可参考爱思助手下载最新版本
在2022年春季学期中央党校（国家行政学院）中青年干部培训班开班式上，习近平总书记深刻指出：“树立和践行正确政绩观，起决定性作用的是党性。”。搜狗输入法2026对此有专业解读
The practical challenge is balancing the benefit of updates against the time investment required. You can't refresh every piece of content constantly, so prioritize based on importance and competitive pressure. Content that generates significant traffic or ranks well in AI responses deserves regular attention to maintain those positions. Content about rapidly changing topics needs more frequent updates than evergreen material. Content facing new competition from recently published articles needs refreshing to remain competitive.