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osmlab
Data Improvements in Singapore
Task Description
This task outlines work to improve map data in Singapore. We plan to work on improving the road network, such as adding missing roads, fixing network issues such as missing connections or crossing roads, and other related issues. We also plan to update and correct coastline and water features as we find them, and correct and improve land use and land cover polygons where needed, such as airports, national parks, forests, colleges and universities, and so on -- remove duplicates, correct the boundaries, fix incorrect tags and other similar things.
Improvements that are intended to be addressed include the following:
- Building Road Intersections via MapRoulette
- Adding missing roads
- Correcting road connectivity issues
- Improving road classification consistency according to local and OSM guidelines
- Correcting coastline and water features
- Adding or correcting land use polygons
- Other one-off fixes
Examples of these are provided below.
Mapping Guidelines
The team will follow OSM and local policy, along with any other guidelines as appropriate.
For water and coastlines, the team will follow OSM coastline guidelines, waterways policy such as water and natural=water and local policy along with any other policy as appropriate.
Some coastlines are connected to administrative boundaries, in which case we will adjust both if appropriate
Where we see them, we will remove the source=PGS tag, which was from an earlier coastline import that needs to be cleaned up. We received a message on the India coastlines project requesting this, and it is commonly done in other coastline improvement edits.
The team will use the imagery and data sources specified below for mapping in Singapore.
When in doubt, the team will use the existing tags and data which are used locally. The history in JOSM (ctrl-H) identifies what previous mappers added and their notes and/or explanations regarding changes made. This history can also show if a previous mapper has visited that area or has expert knowledge or sources.
The team reached out to editors in Singapore, who confirmed that these were issues they would like help with, and also suggested specific places to look at. Local users confirmed that some roads are not connected, some are incorrectly classified, and in some cases are misaligned. DigitalGlobe imagery and OSM and Strava GPS traces are showing correct alignment.
Our team uses the hashtag #adt (for Apple Data Team) for our edits.
Area of Focus
Throughout Singapore
Tools
The team will use JOSM for completing the task. JOSM has validation warnings for road networks and other possible issues that are important to prevent improper changes.
Sources
- Maxar/Digital Globe Standard/Premium
- Bing
- Mapbox
- HOT task imagery
- Mapillary
- KartaView (formerly OpenStreetCam)
- Pic4Carto
- Strava and OSM GPS traces
The team will apply image offsets as needed.
Task Examples
Fixing Geometry and Alignment
Before
After
Before
After
Before
After
Changeset Comments
The team will provide changeset comments that are in compliance with OSM changeset guidelines.
Error Detection
The team will check for errors visually and using JOSM validation warnings prior to committing the changeset.
In addition, the team will review its work in accordance with the task guidelines including the OSM Wiki and LearnOSM validation guidelines
Contributors
For more information
Our community lead is Teddy Ahlvin and our editing leads are Jon Westlake and Erica Olson. To get in touch with Teddy, you can email or contact him via OSM. All of our leads can be reached via email.
We have finished most of our work in Singapore; we may do a few edits in the future as needed.