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Skeletron ========= Skeletron generalizes collections of lines to a specific spherical mercator zoom level and pixel precision, using a polygon buffer and voronoi diagram as described in a 1996 paper by Alnoor Ladak and Roberto B. Martinez, "Automated Derivation of High Accuracy Road Centrelines Thiessen Polygons Technique" (http://proceedings.esri.com/library/userconf/proc96/TO400/PAP370/P370.HTM). Required dependencies: - qhull binary (http://www.qhull.org) - shapely 1.2+ (http://pypi.python.org/pypi/Shapely) - pyproj (http://code.google.com/p/pyproj) - networkx 1.5+ (http://networkx.lanl.gov) - StreetNames 0.1+ (https://github.com/nvkelso/map-label-style-manual/tree/master/tools/street_names) You'd typically use it via one of the provided utility scripts, currently just these two: skeletron-osm-streets.py Accepts OpenStreetMap XML input and generates GeoJSON output for streets using the "name" and "highway" tags to group collections of ways. skeletron-osm-route-rels.py Accepts OpenStreetMap XML input and generates GeoJSON output for routes using the "network", "ref" and "modifier" tags to group relations. More on route relations: http://wiki.openstreetmap.org/wiki/Relation:route The Name -------- The first two implementations of Skeletron used the "straight skeleton" of a polygon to find a generalized center, and ultimately didn't work very well. The straight skeleton: http://twak.blogspot.com/2009/01/that-straight-skeleton-again.html How it's useful for maps: http://aci.ign.fr/Leicester/paper/Haunert-v2-ICAWorkshop.pdf