Dear all, I'm looking at a problem that could present an interesting use case for neo4j spatial capabilities. I've managed to compile a list of natural gas pipelines with their coordinates, see http://enipedia.tudelft.nl/wiki/NaturalGasInfrastructure Its a web of paths that go from gas fields to major consumption and trading areas. The question I'm looking at is which points/intersections of the grid have the best reach - ie connect most sources to most consumers. Also what minimal additions to the grid could make the most difference in gas distribution.
In addition to these "conceptual" questions, I also have to solve some simple problems. The way pipe paths are recorded (lat and lng point series) they do not meet at the same exact spot (lat and lon precision), so I need to be able to approximate/infer intersections. The intention is to build a tool allowing to evaluate the infrastructure expansion options. For more info on the gas map see the uber-geeky story of its creation: http://enipedia.tudelft.nl/blog/?p=6 I would appreciate any pointers/links/ideas. Thanks a lot, Alfredas _______________________________________________ Neo4j mailing list User@lists.neo4j.org https://lists.neo4j.org/mailman/listinfo/user
