IMO, address points are the optimum for geocoding, since they don’t give incorrect locations as linear interpolations do, and they can provide an existence test for inputs. I hope OSM is happy to take address points! (Actually the optimum is to have both, so you can give exact answers where they exist and guesses where they don’t…)
> On Jan 12, 2016, at 6:25 PM, Stewart C. Russell <scr...@gmail.com> wrote: > > On 2016-01-12 02:37 PM, Mojgan Jadidi wrote: >> >> Greater Toronto Area and Hamilton, mostly in new subdivision areas. Our >> Our conflation methods is based on an in-house algorithm of buffering left >> and right sides of the street segments to detect the missing parts … > > Hi Mojgan - this is what really impressed me with your planned process: > that you're prepared to develop an elegant QC system to match up road > ways to address ranges. > > Using municipal data imports alone wouldn't get this kind of QC, and > we'd end up with with millions of address points rather than more > compact ranges. > > cheers, > Stewart > > > _______________________________________________ > Talk-ca mailing list > Talk-ca@openstreetmap.org > https://lists.openstreetmap.org/listinfo/talk-ca _______________________________________________ Talk-ca mailing list Talk-ca@openstreetmap.org https://lists.openstreetmap.org/listinfo/talk-ca
