A survey of data available from certain government and related entities for candidates to import into OpenStreetMap.
A command-line tool for converting many different geospacial data files into OSM files. Translation scripts to use with ogr2osm are included under the translations directory. My fork includes some minor changes that my scripts take advantage of, but they should mostly work with pnorman's version as well.
It's supposed to be able to copy GTFS data into OSM, but I had some trouble with it. It doesn't seem to correctly match stops with ref=, and it does not handle trip/route distinction.
Here are some plugins I found useful during testing:
- conflation
- contourmerge
- kendzi3d
- measurement
- pt_assistant
- public_transport
- reltoolbox
- scripting
This one I used a lot to manipulate data after it had been imported. Scripts for it are in the scripts directory. The API is a bit clunky though so they could be rewritten for a different system. - utilsplugin2
- waydownloader
Very permissive terms!
railway=*
all already mapped, limited additional information
- SCC BART Stops
- BART Phase 1
- BART Phase 2
probably not useful
- Bicycle Collision 2008-2012
- Pedestrian Collisions 2008-2012
- Point Across Barrier Connections
- Line Across Barrier Connections
- Cross County Bikeway Corridors
could use to add/confirm bike lanes, but I think there was already an import for that - Priority Corridors
same as above? maybe existing, not proposed
landuse=*
also seems to work around streets.
would additionally need collation for all the cities
- Campbell GPLU
- Cupertino GPLU
- Gilroy GPLU
- Los Gatos Zoning
- Milpitas GPLU
- Monte Sereno GPLU
- Morgan Hill GPLU
- Mountain View GPLU
- Palo Alto GPLU
- San Jose GPLU
- Santa Clara GPLU 2025-2035
- Sunnyvale GPLU
- SC County GPLU
- ABAG Planned Land Use 2006
- Ramp Meter Construction
combine with below - Ramp Meters
rampmeters.py
traffic_signals=ramp_meter- 708
very inaccurate placement - Existing CCTV
cctv.py
surveillance:zone=traffic- 8131 - CCTV - No Equipment
combine with above (proposed) - PeMS 2012 SCL
- Freeway HOV Lanes
hov:lanes=*- 4249 - Expressway HOV Lanes
combine with above - Existing Express Lanes
only 2, on 237 and 680. find out what they are - thought fasttrak was more commonplace
- CMP Intersections 2016
- LOS Mix AM 2016
- LOS Mix PM 2016
- LOS HOV AM 2016
- LOS HOV PM 2016
- CMP Intersections 2014
- LOS Expressways 2014
- LOS Mix AM 2013
- LOS Mix PM 2013
- CMP Intersections 2012
probably not useful
- Project Locations
- Focus Areas
probably not useful
- Growth Areas
- Urban Villages
- Cores, Corridors, and Station Areas
- Priority Development Areas
already imported?
vta.py, vta.js
route=bus
same as gtfs, would likely need transition to PTv2
algorithm to determine routes for paths is complex. works… mostly. doesn't split ways.
do NOT use to detect stops on route
vta.py, vta.js
highway=bus_stop
lots of really useful info, not all has (direct) translation
could be a big conflation effort
less necessary to move to PTv2
if v2, not obvious if it should be stop position or platform (placement accuracy)
route=bus
lots of good information, but distinguishes routes from trips, and neither the current map nor gtfs-osm-sync use PTv2, which would support that
railway=platform
included in Bus?
railway=halt
already mapped
railway=light_rail
already mapped, and included in Bus?
public_transport=station
probably not useful
basemap.py
see script for comments
- Parcels
used below - Single Street Centerlines
highway=*
includes speedlimit and width, but otherwise already mapped
also bring up the "New Street"(?) thing - Divided Street Centerlines
same
basemap2.py; basemap.js uses Parcels to correlate Address Points with Building Footprints
not sure what to do with condos
- Address Points
addr:*=* - Building Footprints
building=yes
very out of date. includes height and elevation. would need to conflate with existing building traces, turn some into building:parts, and check each if up-to-date. - Condo Points
doesn't have anything relating it to anything specific - Intersections
script translates certain kinds intohighway=motorway_junctionand "non-intersections," but neither are really useful (mostly already mapped) - Side Walk Areas
highway=footway
already imported, and is made of polygons, not lines - Tract Boundaries
only used by government. It could be used to outline landuse areas, but there are no such tags.
I thought not useful, but apparently there was a wish for this?
sanitary.py
there is a spec for manholes, and even pipes, but not sure how useful it all is
- SanitaryPumpStation
pumping_station=sewage - SanitaryGravityMain
man_made=pipeline - SanitaryManhole
man_made=manhole - SanitaryPressurizedMain
man_made=pipeline
stormwater.py
marginally more useful than above, since detentions (basins) and culverts are above ground
would need merging effort
- Stormwater_swGravityMain, Stormwater_swPressurizedMain, Stormwater_swLateralLine
man_made=pipeline - Stormwater_swManhole
man_made=manhole - Stormwater_swInlet
man_made=storm_drain - Stormwater_swPumpStation
pumping_station=wastewater - Stormwater_swOpenDrain
waterway=drain - Stormwater_swDetention
landuse=basin - Stormwater_swCulvert
tunnel=culvert
benchmark.py
man_made=survey_point
not sure how useful
zoning.py, expand.js
landuse=*
works around streets (needs lots of cleanup)
Datasets available as GeoJSON
addr:*
aeroway=*
features not split or classified
nails.py
shop=beauty
weird, but actually mostly unmapped! poor geolocating though
boundary=administrative+admin_level=8
boundary=administrative+admin_level=6
address parcels; includes zip4
amenity=hospital
address parcels; includes zip4
includes zip4
scc poi.py
amenity=*
fire/police stations, schools… has some address info, but some outdated, and all already mapped
probably not useful
railway=rail
highway=trunk
amenity=school
highway=*
landuse=*
seems to be sparse
addr:*
landuse=residential
amenity=bicycle_parking, highway=path, cycleway=lane, cycleway=shared_lane
amenity=community_centre, leisure=swimming_pool, leisure=park
landuse=construction
amenity=vending_machine+vending=parking_tickets, amenity=parking
natural=tree
boundary=administrative+admin_level=8
landuse=*
landuse=residential
parks.py
leisure=park
residential=apartments
landuse=grass
highway=traffic_signals, crossing=traffic_signals
communication:*
maxspeed=*
natural=tree
highway=street_lamp/light_source=lantern
highway=*
man_made=survey_point
Part or whole can be downloaded with download mapserer.py. Need to index and survey in full.
- WaterMeters
- PedestrianOvercrossings
- City Council Districts
- Beautify San Jose
- General Fund Landscape - In House
- General Fund Landscape - Contractual
- General Fun Landscape - ConcreteIslands
- Special District Parcels
- SoundWalls
noisewall.py
barrier=wall - Weed Abatement DOT
- Weed Abatement PRNS
- Weed Abatement Closed
- Pedestrian Overcrossing Lights
- Caltrans Agreements
- PRNS Parks Landscaping
- County Roads And Airports Landscaping
- Home Owners Association
- Parcels
- County Or Other
trees.py
natural=tree
parks.py
leisure=park
Part or whole can be downloaded with download mapserer.py. Need to index and survey in full.