There's several scripts for outputting some information, generating modified osm data and extracting buildings that aren't present at all in OSM.
There's more description in the readme: https://github.com/maxerickson/osm_ms_buildings Only tested against the Michigan data which has 8140 geometries, concentrated in the Detroit area. Not sure how things will go with larger datasets. A clipped out region of reasonable size should work fine (the scripts complete in a few seconds for ~10,000 buildings on my older laptop). For Michigan/Detroit, the main takeaway is that a *lot* of the buildings are already in OpenStreetMap. This histogram is calculated using the largest single overlap for each existing OpenStreetMap building (data at https://drive.google.com/open?id=0BxwWB33rZeUVU2FVaEVGUk9sNFU ): bin count 0.0-0.1 7645 0.1-0.2 41 0.2-0.3 34 0.3-0.4 53 0.4-0.5 64 0.5-0.6 106 0.6-0.7 112 0.7-0.8 280 0.8-0.9 954 0.9-1.0 5133 The areas there are presently calculated stupidly, in WGS 84, but I think the relative information should be fine. So of the ~14422 buildings present in OSM, 7630 don't overlap the Microsoft buildings at all and 5 or 6 thousand overlap quite a lot. Of the visual review I've done, I'd say that the existing OSM buildings tend to be more detailed and line up more closely with current Bing Imagery. Separately, there are 410 buildings in the Microsoft data that do not exist in OSM (take a look https://drive.google.com/open?id=0BxwWB33rZeUVNTVJVmNQcEg2RHM ). A more sophisticated matching algorithm is probably a good idea, but for the Detroit data I would be pretty comfortable mechanically adding the heights for the buildings where the overlap is roughly 80% or higher and then doing a more manual process for the new buildings (checking against newer imagery?), and then also doing some sort of more manual process to capture the information from the several hundred buildings with smaller overlaps. Max _______________________________________________ Talk-us mailing list Talk-us@openstreetmap.org https://lists.openstreetmap.org/listinfo/talk-us
