I should point out that the Microsoft Open Maps team did a systematic
comparison between OSM and government open data specifically to ensure OSM
isn't missing roads or road names. Which did help fill in any gaps that
organic mappers may have missed. However that systematic comparison was
still
On Tue, 7 Jul 2020 at 23:40, Andrew Hughes wrote:
>
> The Gazetted roads I compared against OSM were so different around ramps,
> turning lanes, round abouts, carriage ways, u-turn junctions... it's clear
> that gazetted roads are never maintained to a level that could ever be used
> for
Jul 7, 2020, 15:37 by ahhug...@gmail.com:
> When I say "correlation", we really like to know that a satisfactory amount
> of (Govt) gazetted roads exist is OSM. If we could identify missing roads
> that would be ideal.
>
For the first step maybe comparing names with mostly ignoring geometry
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"
Hi All,
Thanks for your responses. I'd love to speak more about our scenario but
I'd end up writing a 10 page email. I'm not joking. Maybe theres a virtual
meetup or something like that?
Continuing with the thread of conversation...
When I say "correlation", we really like to know that a
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
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