Background
As part of on-going work to improve the quality of OpenStreetMap data, we recently used osmlint-osmium and osmlint for detecting issues related to road network data in The USA. In total, we are going to review issues in 10 categories.
Our plan is to review all detected issues and fix it in OpenStreetMap. There's a link to the OSM Wiki page.
Timeframe
We have already started to review detected issues in Michgan (previous ticket) , and editing OpenStreetMap data to fix valid issues. After, we are going to review several states one by one after contacting with communities. First one will be Texas. During our work on the ptoject we will update Linters output for each state in this ticket.
Tools
We will use existing OpenStreetMap editing tools, and starting from Texas state we begin to use common #hashtag for the project #mbx_linters_usa
Editor: iD or JOSM
Satellite Imagery: Bing, Maxar, Esri
Street Level Imagery: Mapillary, Other open sources if available
Contact Person
We welcome feedback, suggestions, and insights from local mappers. If you have questions about this work, or a specific edit by our team, please reach out to Natallia (natallia.zhouner@mapbox.com) or post a comment in a changeset.
Example
1.Dargged node (link)
Linter Output for Texas
Linter Output for California
Linter Output for Florida
Linter Output for Missouri
Linter Output for New York
Linter Output for Illinois
Linter Output for Ohio
Linter Output for Pennsylvania
Linter Output for Georgia
Linter Output for the North Carolina
Linter Output for the Indiana
Linter Output for the New Jersey
Linter Output for the Wisconsin
Linter Output for the Minnesota
Linter Output for the Arizona
Results
During this iteration the team reviewed 16 states in the USA: Michigan, Texas, California, Florida, Missouri, New York, Ohio, Illinois, Pennsylvania, Georgia, North Carolina, Indiana, New Jersey, Wisconsin, Minnesota, Arizona.
Team reviewed almost 12,000 items with the fix rate 64,8% (7,755 items). All our contribution can be traced with the help of hashtags #mbx_linters_usa and #mbx_linters_michigan
@legain @Andygol @abrohood @shvrm @lukasmartinelli @mikelmaron
Background
As part of on-going work to improve the quality of OpenStreetMap data, we recently used osmlint-osmium and osmlint for detecting issues related to road network data in The USA. In total, we are going to review issues in 10 categories.
Our plan is to review all detected issues and fix it in OpenStreetMap. There's a link to the OSM Wiki page.
Timeframe
We have already started to review detected issues in Michgan (previous ticket) , and editing OpenStreetMap data to fix valid issues. After, we are going to review several states one by one after contacting with communities. First one will be Texas. During our work on the ptoject we will update Linters output for each state in this ticket.
Tools
We will use existing OpenStreetMap editing tools, and starting from Texas state we begin to use common #hashtag for the project #mbx_linters_usa
Editor: iD or JOSM
Satellite Imagery: Bing, Maxar, Esri
Street Level Imagery: Mapillary, Other open sources if available
Contact Person
We welcome feedback, suggestions, and insights from local mappers. If you have questions about this work, or a specific edit by our team, please reach out to Natallia (natallia.zhouner@mapbox.com) or post a comment in a changeset.
Example
1.Dargged node (link)
Linter Output for Texas
Linter Output for California
Linter Output for Florida
Linter Output for Missouri
Linter Output for New York
Linter Output for Illinois
Linter Output for Ohio
Linter Output for Pennsylvania
Linter Output for Georgia
Linter Output for the North Carolina
Linter Output for the Indiana
Linter Output for the New Jersey
Linter Output for the Wisconsin
Linter Output for the Minnesota
Linter Output for the Arizona
Results
During this iteration the team reviewed 16 states in the USA: Michigan, Texas, California, Florida, Missouri, New York, Ohio, Illinois, Pennsylvania, Georgia, North Carolina, Indiana, New Jersey, Wisconsin, Minnesota, Arizona.
Team reviewed almost 12,000 items with the fix rate 64,8% (7,755 items). All our contribution can be traced with the help of hashtags #mbx_linters_usa and #mbx_linters_michigan
@legain @Andygol @abrohood @shvrm @lukasmartinelli @mikelmaron