< Import
Import/CBF
This will become the documentation page for the wheelchair toilet import of data donated from CBF Darmstadt e.V..
Contact Persons
- User:Lulu-Ann
- User:Okilimu
Type of Import
Datasource accuracy and licensing (also summarised on Potential Datasources)
- Datasource is a donation of an MS Excel list of wheelchair accessible toilets with eurokey from CBF.
Import/Software you plan to use. Share the source code you are using.
- Manually check data
- Add postcodes
- Find housenumber matches.
Matching house numbers
- Download matches, add tags to .osm
- Upload with JOSM to OSM
Matching streets, Housenumber interpolation
- Download housenumber interpolation vektors
- Interpolate position
- Add node and tags + FIXME
- Upload with JOSM to OSM
Only street match
- Add to OpenStreetBugs with all tags incl. address and contact person.
No address match
- Add to OpenStreetBugs
Exactly how data will be translated from another format into OSM format
- Todo: Enter script here.
How the resulting data will look. Exact tags being used.
User: to be defined, e.g. CBF_Import
Mandatory:
- addr:city=*
- addr:street=*
- addr:housenumber=*
- addr:postcode=*
- amenity=toilet
- wheelchair=yes
- centralkey=eurokey
- source=CBF Import
- cbf_import=Dataset ID
- website=http://www.cbf-da.de/presse/Toilettenschluessel.htm
Optional:
- wheelchair:description:de=*
- operator=*
- opening_hours=*
- gender=unisex
If needed:
Link to sample data imported on the test database.
- not yet
==User name of the account performing the import, and other details of how the changesets will be tagged And as the import progresses ==
- Different names for the different import methods? (housenumber match // street match // ...)
Link to example data imported on the live database.
- Not yet
This article is issued from Openstreetmap. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.