Also, in nearly any dataset some errors will appear. If error is in OSM then fixing is relatively easy, just edit OSM.
But what if centerline in government data is wrong? Malformed geometry, mapping of nonexisting road etc "what we might expect when looking to achieve the correlation we need" Mapping correct both in dataset but with diverging centerlines. Finding multiple errors both in OSM data and other dataset. Whatever you succeed depends in large part what kind of correlation is sufficient for your needs and on whatever centerline mapping rules are significantly different and quality of involved datasets. "we are very enthusiastic to learn and contribute to OSM" Good luck and welcome! If anything is unclear or problematic it is the best to ask here (or potentially on some other discussion channel if more applicable). See also https://wiki.osmfoundation.org/wiki/Organised_Editing_Guidelines - also, feel free to ask for clarification/explanation if something is unclear See also https://wiki.openstreetmap.org/wiki/Import/Guidelines if you plan to import some external datasets into OSM. Jul 7, 2020, 11:31 by [email protected]: > Hi Andrew, > > Just to add what others have said already, > > > OSM adoption is largely dependent on a minimum correlation between the OSM > > ways and the streets found in Government centerline/road datasets (States > > and/or LGAs) > > Could you elaborate on what exactly you mean by that or what specifically > you're aiming to achieve? > > For example could you use a map matching algorithm to match OSM data to other > road network data but since there will always be differences between multiple > datasets that's never going to be perfect. > > Graeme mentioned on/off ramps, but more generally there could be differences > in how the centerline is represented. For example, OSM splits ways where > there is a physical separation, so you might find other datasets just have > one centerline, but OSM would have two parallel ways for each direction. The > transition between these two modes is never ideal either. This isn't saying > one is necessarily wrong but rather have different guidelines on where the > line should be drawn. > > The other consideration is that most states we only have access to GPS or > satellite imagery to derive road geometries from so the geometry accuracy in > OSM isn't necessarily as great as survey grade data. > > On Mon, 6 Jul 2020 at 12:00, Andrew Hughes <> [email protected]> > wrote: > >> Hi All, >> >> First time poster and very new to OSM so please feel free to throw anything >> at me you think I should educate myself on. >> >> I'm currently the GIS Lead at the National Heavy Vehicle Regulator (HNVR). >> We're very serious about adopting OSM for some of our needs. However, our >> OSM adoption is largely dependent on a minimum correlation between the OSM >> ways and the streets found in Government centerline/road datasets (States >> and/or LGAs). >> >> Q: Would anyone be able to provide me with some insight as to what we might >> expect when looking to achieve the correlation we need? Please be aware, our >> intent is to contribute and "close the gap" but we need to know if/how this >> can best be done in a cohesive way within the OSM community. >> I'm also >> aware there may be licensing issues, please overlook these for now. >> >> The NHVR are quite serious about what it hopes to achieve in the next 12 -24 >> months through GIS and we are very enthusiastic to learn and contribute to >> OSM. I hope to be speaking with you a lot more in the near future. >> >> Thanks in advance, >> Andrew Hughes >> >> _______________________________________________ >> Talk-au mailing list >> >> [email protected] >> >> https://lists.openstreetmap.org/listinfo/talk-au >>
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