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Uruguay Data Corrections #24

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awisemanapple opened this issue Jan 3, 2018 · 0 comments
Open

Uruguay Data Corrections #24

awisemanapple opened this issue Jan 3, 2018 · 0 comments

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@awisemanapple
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awisemanapple commented Jan 3, 2018

Task Description

This task outlines work to improve map data in Uruguay based on app user feedback. We occasionally receive anonymous user feedback, often related to street names, addresses, road network issues, points of interest and other related features. After messaging the talk-uy list and getting feedback and suggestions for this project, we plan to correct the data where we can identify that the feedback is valid, using other sources as appropriate listed below.

In addition, we plan to correct other data, such as the road network, coastlines and inland water, and land use -- remove duplicates, correct geometry, fix incorrect tags and other similar things.

Improvements that will be addressed include the following:

  • Correcting road connectivity issues
  • Improving road classification consistency according to global and local highway classification guidelines
  • Adding missing roads
  • Correcting road alignment issues
  • Correcting coastline and water features
  • Adding or correcting buildings and land use
  • Other one-off fixes

Mapping Guidelines

The team will follow OSM and Uruguay 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 Uruguay.

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.

Where needed, the team will add review_requested=yes to edits, which was suggested by a the local community.

Our team uses the hashtag #adt (for Apple Data Team) for our edits.

Area of Focus

Throughout the country.

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/DigitalGlobe Standard/Premium imagery
  • Bing imagery
  • Mapbox imagery
  • ESRI imagery
  • HOT task imagery, if any
  • Mapillary
  • OpenStreetCam
  • Pic4Carto
  • Telenav's MissingRoads plugin and ImproveOSM
  • Strava and OSM GPS traces
  • OpenAerialMap

The team will apply image offsets as needed.

Changeset Comments

The team will provide changeset comments that are in compliance with OSM changeset guidelines.

Where sources are unclear, the team will tag corrections with review_requested=yes so the local community can double check them, as was suggested on the talk-uy listserve.

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 validation guidelines such as the OSM Wiki and LearnOSM.

Contributors

MapRoulette

We have also posted MapRoulette challenges related to the road network: https://maproulette.org/browse/projects/39428

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.

OSM Wiki

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