This program will process and import boundary relations from a OSM PBF file. The process is optimized for rendering - instead of building (multi)polygons, boundary relation way members are imported as unconnected linestrings allowing different segments of a single boundary to be styled independently. This also avoids overlapping lines where different boundaries and admin levels meet, and allows renderers like Mapnik to draw dashed lines correctly.
The data is manipulated and simplified for easier styling:
- The lowest
admin_level
value of any of a way's parent relations will be theadmin_level
value of the resulting linestring. - Various tag combinations are checked to see if each way is a maritime boundary. This information is simplified to a single
maritime
field with a value of either0
(false) or1
(true). - Various tag combinations are checked to see if each way is a disputed boundary. This information is simplified to a single
disputed
field with a value of either0
(false) or1
(true). - Boundaries that are also coastlines (
natural=coastline
) are not imported. - Boundaries that are closure segments (
closure_segment=yes
) are not imported. (Closure segments are ways added at the limits of the projection to close boundaries for valid multipolygon building. They are not actual borders.) - Geometries are imported to a Spherical Mercator projection (900913).
- boundaries that are not part of any
boundary=administrative
relation are ignored.
- Python & Psycopg2 in a Unixy environment
- Osmosis (requires version >= 0.42 for planet files newer than Feb 9 2013)
- PostgreSQL (tested with 9.2)
- PostGIS (tested with 2.0)
- Osmium - make sure
osmjs
is compiled and in your PATH
- Make sure you have a PostgreSQL database set up with PostGIS enabled.
- Run
run.py -f 2 -t 4 data.osm.pbf
with appropriate options set for your database and desired admin levels. Seerun.py --help
for available options.
The process will take quite some time and require lots of free disk space for temporary storage. Processing a full planet file might take over six hours and require at least 60 GB of free disk space.