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Michal Migurski's Reblog: Published items tagged with "accuracy" (items 1 to 25)

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Aug 28, 2010

Richard Fairhurst on bobbing for map data: "...it does also point out the limitations of applying search-engine technologies to mapping. If you search Google for something non-trivial, you don't expect the top result to be the one that answers your question. You hope you'll find it in the top 10, and if not, you'll turn the page until you get the answer. It's fuzzy like that and people accept this. Map data isn't fuzzy. You have to get it right, first time. Charlbury Bowls Club's location is approximate, but nonetheless, wrong. St Mary's is a church in Charlbury but it's not the Charlbury RC Church. Data mining gets you worldwide coverage fast, but takes a long time to get to 95% accuracy: you could argue it never will. Crowdsourcing, OpenStreetMap-style, gets you to 95% accuracy fast, but takes a long time to approach worldwide coverage. Professional surveying a la Tele Atlas gets you both, at a huge cost."

Originally from Delicious/network/migurski by mikel_maron reBlogged to argleton via:mikel_maron osm openstreetmap data google mining cost accuracy improvement correctness uk church placement position geo