Matthew -

Awesome you're working on this.

> My only qualm with the data is that some buildings have more nodes than
they need, but I'm not sure what can be done about it besides manually
reviewing
and simplifying all 200k+ outlines.

ogr2ogr -simplify ?

> I assigned approximate street addresses to each building using a
parcel map

How approximate?


On Sat, May 4, 2013 at 12:07 AM, Matthew Petroff <openstreet...@mpetroff.net
> wrote:

> Hello,
>
> The City of Baltimore provides a large amount of public domain GIS data
> through
> their data portal [1]. Included are city wide building footprints [2],
> which I
> would like to import into OpenStreetMap. Other users have already started
> importing this data in a less automated way. I confirmed with the city GIS
> office that the data is indeed public domain.
>
> Using QGIS, I assigned approximate street addresses to each building using
> a
> parcel map [3] and used the field calculator to clean up the labels and
> remove
> abbreviations. In addition, I removed all data that intersected with
> existing
> buildings to preserve existing work. I then separated the data into smaller
> chunks and converted the Shapefiles to OSM with Merkaartor. After
> simplifying
> Merkaartor's output using osmconvert's "--drop-author" switch, I tagged the
> data with sed, before finally using JOSM to remove duplicate vertices and
> empty
> tags. My only qualm with the data is that some buildings have more nodes
> than
> they need, but I'm not sure what can be done about it besides manually
> reviewing
> and simplifying all 200k+ outlines.
>
> I've currently tagged the data with:
> building=yes
> addr:city=Baltimore
> addr:state=MD
> addr:country=US
> addr:inclusion=estimate
> source=Baltimore City GIS
> addr:housenumber=[Based on parcel data]
> addr:street=[Based on parcel data]
>
> I've uploaded the files here for feedback:
> http://db.tt/P9qh1hIm
>
> Thoughts, suggestions, questions?
>
>
> -Matthew Petroff
>
>
>
> [1] https://data.baltimorecity.gov/
> [2]
> https://data.baltimorecity.gov/Geographic/Building-Footprint-Shape/deus-s85f
> [3] https://data.baltimorecity.gov/Geographic/Parcels-Shape/jk3c-vrfy
>
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>
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