Hi, this is not an OSM-only question, but it is related to OSM and I don't now where to look for people with same experience in this topic. So I hope you can provide some help. Quadtrees and R-Trees are used for indexing spatial data. I read - without an explanation - that quadtree have disadvantages with indexing geospatial data, because of different densities of data (rural and urban areas). I could not find any helpfull information regarding this. Is this correct? If yes why? The only reason I can imagine ist that the quadtree will be very unbalanced.
Regards, Dominik _______________________________________________ dev mailing list [email protected] http://lists.openstreetmap.org/listinfo/dev
