Quadtree-based image compression formats and level-of-detail systems all work this way. Satellite imagery, terrain rendering, and geographic information systems use quadtree decomposition to serve data at varying resolutions: zoomed out, you see large coarse blocks; zoomed in, you see fine-grained tiles. The same principle extends to three dimensions (octrees) for volume rendering and 3D spatial indexing.
We wanted a scenario where, say, 5 well-placed border points could efficiently represent an area with 5,000 internal points and 10,000 road edges. This would reduce those 10,000 edges to just 5*4/2 = 10 shortcuts for routing through that cluster at a high level – an incredible 1:1000 point ratio and a 30x reduction in edges to consider for the high-level path!,更多细节参见Line官方版本下载
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第七十八条 涉外经济贸易、运输、海事纠纷以及其他涉外纠纷的仲裁,适用本章规定;本章没有规定的,适用本法其他有关规定。