Thanks to all for the guidance.

I've set up a Wiki page, as well as added this project to the import catalog:

https://wiki.openstreetmap.org/wiki/Import/Catalogue/Fayetteville_Building_Footprints

In regards to the building classification, building=detached seems weird to me as well, but it appears to be what the OSM guidelines call for:

https://wiki.openstreetmap.org/wiki/Tag:building%3Ddetached, sums this up to be:

"A free-standing residential building usually housing a single-family.

Known as a /single-family home/ in the United States, a /single-detached dwelling/ in Canada, and a /separate house/ in New Zealand.

If the building shares a wall with another building (forming half of a semi-detached pair, or one of a row of terraced houses) then it should be rather tagged building <https://wiki.openstreetmap.org/wiki/Key:building>=house <https://wiki.openstreetmap.org/wiki/Tag:building%3Dhouse>."

It seems like the typical house in the US is "detached", and the things we call townhomes/rowhomes are "house" in OSM? It's a bit strange to me as well, but I understand that these are likely the more global terms for these types of structures.

In regards to the imagery I'm using to check the footprints, it is the "Fayetteville Current Imagery". This is our most current imagery, flown about a year ago: http://gis.fayetteville-ar.gov/faygis/rest/services/BaseMaps/Aerial_Current_WGS84/MapServer

On 01/14/2017 04:47 PM, Clifford Snow wrote:
As Jon noted, you are required to create a import page on the wiki to describe your planned import. You should also announce it on the talk-us mailing list. You might also want to join our Slack [1] import channel. But make sure you read the import guidelines [2].

If you can involve local mappers, I'd suggest using the Tasking Manager [3], to break the work into small chunks. We used voting districts to breakup Kirkland, Washington Building and Addresses [4] import. voting districts are nicely sized to import.

In all of our imports, we took the opportunity to teach people how to use JOSM to import the data. One of the nice features is to use the Address Tags Validator Map Paint Style. It colorizes the addr:street object the same as the highway= road. If the two match, then they will be the same color. It is a quick and easy way to spot differences. We identified a number of errors in a local counties gis data.

Let me know if there is anything I can help you with. We are getting ready to announce another import in Washington State so this is all fresh in my mind. (It goes quickly :-)

Clifford

[1] https://osmus-slack.herokuapp.com/
[2] https://wiki.openstreetmap.org/wiki/Import/Guidelines
[3] http://tasks.openstreetmap.us
[4] https://wiki.openstreetmap.org/wiki/Kirkland_Import


On Sat, Jan 14, 2017 at 10:17 AM, Jon Schleuss <[email protected] <mailto:[email protected]>> wrote:

    Hi Mike,

    Great idea!

    I used to live in Fayetteville and now I'm out in Los Angles
    helping out with the building import here.

    I agree with Frederik and Clifford about trying to get someone to
    help you. We've used our import to build some community around the
    import. It's a bit tedious so we've only hand a handful of events.
    That said, your address and building attributes would go a long
    way in improving the data itself.

    Maybe, though, the Fayetteville Flyer could get involved? Or
    possibly the NW Democrat-Gazette? If they want a free way to make
    more maps for their news stories this could provide an incentive
    to improve the data.

    In regards to the data/tagging, it looks like some of these houses
    are tagged as building=detached. I think it'd be more appropriate
    to tag them building=house. For duplexes building=residential. And
    for apartments/condos usually building=apartments. The default is
    building=yes. Are there possibly more data tags you could add that
    would be of value? Maybe when the house was built, a unique
    property ID number or unit count?

    I'd also suggest creating a page on wiki.openstreetmap.org
    <http://wiki.openstreetmap.org> to detail the data and the import.
    Here's a link to ours:
    http://wiki.openstreetmap.org/wiki/Los_Angeles,_California/Buildings_Import
    
<http://wiki.openstreetmap.org/wiki/Los_Angeles,_California/Buildings_Import>

    And finally, how did the city collect the data and how old is it?
    Sometimes the satellite imagery is more up-to-date than the data.
    You may also be able to tie into more up to date imagery collected
    by the city since that would likely fall into the public domain
    under the Arkansas Public Records Act. For instance, the tile
    server here looks to have pretty good imagery (I'm not sure on the
    age):
    
http://gis2.accessfayetteville.org/faygis/rest/services/BaseMaps/Aerial_Current_WGS84/MapServer/tile/8/678760/250154
    
<http://gis2.accessfayetteville.org/faygis/rest/services/BaseMaps/Aerial_Current_WGS84/MapServer/tile/8/678760/250154>

    I'm happy to connect off-list if you have any questions or need an
    introduction with the Flyer/DemGaz folk.

    cheers,
    Jon


    On Sat, Jan 14, 2017 at 9:41 AM, Clifford Snow
    <[email protected] <mailto:[email protected]>> wrote:


        On Sat, Jan 14, 2017 at 8:24 AM, Frederik Ramm
        <[email protected] <mailto:[email protected]>> wrote:

               are there any local mappers in Fayetteville or in the
            vicinity that
            you could invite to help with your project?

            If that was possible then you'd have a larger group who
            feel responsible
            for the data set and it wouldn't be your responsibility
            alone. In the
            best outcome, this could even help invigorate local
            mapping efforts.


        +1 to Frederik's suggestion.


-- @osm_seattle
        osm_seattle.snowandsnow.us <http://osm_seattle.snowandsnow.us>
        OpenStreetMap: Maps with a human touch

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-- Jon Schleuss
    http://www.jschleuss.com/ <http://jschleuss.com/>




--
@osm_seattle
osm_seattle.snowandsnow.us <http://osm_seattle.snowandsnow.us>
OpenStreetMap: Maps with a human touch


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