# Sonoma County Building/Parcel/Address Import Based on https://github.com/Nate-Wessel/hamilton-import ## Project Status For current project status see https://wiki.openstreetmap.org/wiki/Sonoma_County_Building_and_Address_Import ### Screenshots Here is the project status as of Jan 13 2021. - 106,930 new buildings would be inserted with addresses (green) (non-conflated, with addresses) - 139,987 new buildings would be inserted without addresses (non-conflated, no address) - 18,867 buildings already exist with addresses and would not be inserted - 13,226 buildings already exist without addresses and would not be inserted Here are sample screenshots of Sonoma County, Santa Rosa, the City of Sonoma, and Petaluma: Legend Sonoma County Santa Rosa City of Sonoma Petaluma
## Obtaining Data `original_data` from: - https://gis-sonomacounty.hub.arcgis.com/datasets/2202c1cd6708441f987ca5552f2d9659 - https://gis-sonomacounty.hub.arcgis.com/datasets/0f5982c3582d4de0b811e68d7f0bff8f - https://overpass-turbo.eu/ Overpass query (you may save as OSM file, shapefile, or postgres sql dump depending on your overpass client) ``` area[name="Sonoma County"]; ( way[building](area); relation[building](area); ); (._;>;); out; ``` If using an Overpass -> QGIS -> Postgres dump, save it as `osmquery_buildings_pgdump.sql` for later. Otherwise osm2pgsql should create tables like `son_polygon` for later. ## Prerequisites The postgis package appropriate for the version of postgres server you have installed (in my case, 11) Ubuntu - sudo apt install postgresql-11 postgresql-11-postgis-3 shp2pgsql osm2pgsql Debian (shp2pgsql is included in postgis) - sudo apt install postgresql postgis osm2pgsql - The postgresql server started/running/configured and database `gis` created ## Running - Run the following SQL as a superuser (postgres) inside the `gis` database to enable the PostGIS and hstore extensions: `CREATE EXTENSION postgis; CREATE EXTENSION hstore;` - Unzip the `original_data` and open a shell in that folder. - Here we are assuming that county data is in WGS84/EPSG4236 format, which was true as of last check and is also what OSM uses. - Run from your shell: `shp2pgsql -s 4326 -I Parcels__Public_.shp | psql -d gis -U postgres -W` - `shp2pgsql -s 4326 -I Sonoma_County_Building_Outlines.shp | psql -d gis -U postgres -W` - `shp2pgsql -s 4326 -I osm-buildings-01-03.shp | psql -d gis -U postgres -W` Now all the data is in Postgres. For processing and conflation, read through and execute `conflation.sql` as per your comfort level. ### Internal Notes - http://download.geofabrik.de/north-america/us/california/norcal-latest.osm.pbf ``` shp2pgsql -s 4326 -I Parcels__Public_.shp | psql -d openstreetmap -U openstreetmap -W -h localhost -p 54321 shp2pgsql -s 4326 -I Sonoma_County_Building_Outlines.shp | psql -d openstreetmap -U openstreetmap -W -h localhost -p 54321 psql -d openstreetmap -U openstreetmap -W -h localhost -p 54321 -f osmquery-pgdump.sql #unused osm2pgsql -d gis -c --prefix son --slim --extra-attributes --hstore --latlong sonoma-orig-buildings-20201219.osm -U postgres -W` osm2pgsql -d openstreetmap -c --prefix son --slim --extra-attributes --hstore --latlong norcal-latest-20200103.osm.pbf -U openstreetmap -W -H localhost -P 54321 ```