Sonoma County Building and Address Import
In accordance with the Import/Guidelines:
- We have contacted the local user group.
- We have contacted Sonoma County's GIS team to ensure licensing is appropriate, however haven't received a response. Government data in California is however public domain.
- We have finished multiple drafts of import, conflation, and splitting into nicely-sized .OSM files for review. Any and all review is appreciated.
- We have added our wiki page to the Import/Catalogue
- We have sought comments, community and import mailing list approval from OSMUS Slack, https://lists.openstreetmap.org/pipermail/imports/ and https://lists.openstreetmap.org/listinfo/talk-us-sfbay .
- Import has completed at: https://tasks.openstreetmap.us/projects/289/
- Further import tasks could be created based on conflated buildings or non-imported addresses, see Github for more.
- zyphlar/sonoma-import on GitHub for source code, issues, and official discussion
- OSM US Slack, #imports channel for casual chat and #sonoma-import channel for formal questions (get an account here)
Sonoma County has published building footprint and parcel/address datasets on their GIS hub:
Our goal is to add missing buildings and addresses in Sonoma County to OSM to make OSM more useful for navigation in the area. The data doesn't appear to be licensed, but we anticipate it to be in the public domain and are in the process of contacting them to be sure.
We're basing this import on the Hamilton County Building Import since that too used county GIS building/parcel data.
Why does this belong in OSM?
Many OSM client programs have trouble finding places without addresses specifically entered into OSM (like OsmAnd), and/or (in the case of StreetComplete) only allow contributions on existing features like buildings (you can't add your own building or address.) So, importing buildings especially with authoritative addresses attached will make OSM a valuable resource for Sonoma County residents and visitors.
All imported objects will be buildings. We will be attempting to use county
usecode data to assign building tags based on the parcel land use, or leave it as
building=yes if unknown.
We will generally avoid putting address tags on buildings in the city of Santa Rosa due to the previous address POI import, however not all addresses have city information attached.
All buildings run through a conflation process, and we will not be importing or modifying any buildings that have been detected as intersecting an existing building.
So far via spot checking the data seems very high quality. Building outlines for example are often far more accurate than OSM's existing data. Addresses are sometimes hard to assign from parcels to buildings, however the quality seems as accurate as can be expected without extremely high quality data sources or surveys. The JOSM validator will be run on select data as a next step.
See Github for specific instructions.
Team and Supporters
- (add your name here)