[Talk-ca] Over-classification of rural roads in Canvec data?
Brent Fraser
bfraser at geoanalytic.com
Mon Aug 16 15:52:14 BST 2010
Tyler,
Have you considered using the 1:20k data published by the Manitoba
government? I think the license is compatible with OSM's, but you'd have to
have a look at it.
https://mli2.gov.mb.ca/ (free registration required for downloading)
(Click on "Topographic Maps" -> "1:20,000 Seamless")
The transportation file has roads with 10 to 20 classes....
Best Regards,
Brent Fraser
Tyler Gunn wrote:
> Hello,
> I'm ALMOST done importing the entirety of the 062N* area of Canvec data
> and wanted to pass along something I observed:
> http://www.openstreetmap.org/?lat=51.171&lon=-100.413&zoom=11&layers=M
>
> The Canvec data had all the numbered roads listed as Primary. However, in
> the case of MB the general rule is 1-2 digit road numbers are "Provincial
> Trunk Highways" (ie primary), and 3 digit road numbers are "Provincial
> Roads" (ie secondary). Easy enough to fix.
>
> The one that I'm somewhat mixed on is the classification of all the minor
> roads in rural MB; Canvec has all the all the gray roads in the example
> link above listed as "tertiary". Given that I know these roads to be
> nothing more than dirt/gravel roads between farm properties I have
> downgraded the lot of them to highway=unclassified.
>
> Given the definition of unclassified roads, I felt this to be more
> appropriate
> (http://wiki.openstreetmap.org/wiki/Tag:highway%3Dunclassified):
>>From the wiki:
> In a rural context, these can be distinguished from tertiary roads by:
> 1 lack of (or lower) classification (if your country has a
> classification level for tertiary)
> 2 being narrow, such that vehicles must slow down to pass in opposite
> directions
> 3 being unpaved (in larger/poorer countries)
> 4 being more for access than for through-traffic between towns and
> villages
>
> 2,3, and 4 definitely apply for these roads.
>
> I figure this makes sense and just wanted to see if anyone else noticed
> this type of thing with the Canvec data in their areas.
>
> Tyler
>
>
>
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