iD (software)

iD is a free software online editor for OpenStreetMap (OSM) geodata created in JavaScript and released in 2013. It is the most popular[2] and the default editor on the main OSM page.[3][4] iD's features include choosing custom aerial imagery and native support for Mapillary photos. Specialized forks of iD include RapiD, developed by Facebook as an import tool for reviewing and adding roads detected by proprietary Facebook algorithms.

This article is about the geodata software editor. For the video game developer, see id Software.
For other uses of "ID", see ID (disambiguation).
iD
Original author(s)Richard Fairhurst, Tom MacWright, John Firebaugh, Saman Bemel-Benrud, Ansis Brammanis
Developer(s)Multiple contributors
Initial releaseMay 7, 2013 (2013-05-07)
Stable release
2.27.1[1] / 17 August 2023 (17 August 2023)
Repositoryhttps://github.com/openstreetmap/iD
Written inJavaScript
PlatformWeb browser
Available in78 languages
TypeGIS software
LicenseISC
Websiteideditor.com

History

Prior to iD, the primary web editor for OpenStreetMap data was the Flash-based Potlatch 2 editor. The iD editor project was founded by the author of Potlatch 1 and 2, Richard Fairhurst, online on July 13, 2012 and at the State of the Map conference on October 14, 2012.[5]

In September 2012, the Knight Foundation announced the winners of the Knight News Challenge: Data competition. The team from Development Seed/Mapbox was selected as a winner for their proposal to develop new contribution tools for OpenStreetMap, and awarded a grant of $575,000.[6][7]

This editor was meant to be a Potlatch 2 architecture reimplementation in JavaScript with redesigned user interface. The only big internal change was departure from XML tagging preset architecture to a JSON-based one.[5]

In 2013,[8] iD became the default editor on OSM.org making it the most used OSM editor by changeset count.[9][3]

Forks

iD has spawned several forks for specialized use cases. In 2018, Facebook created RapiD for the MapWithAI initiative.[10] RapiD gives users machine learning generated roads and buildings for verification before uploading to OSM.

References
  1. "Release 2.27.1". 17 August 2023. Retrieved 18 September 2023.
  2. Arsanjani, Jamal Jokar; Zipf, Alexander; Mooney, Peter; Helbich, Marco (3 March 2015). OpenStreetMap in GIScience: Experiences, Research, and Applications. Springer. p. 71. ISBN 978-3-319-14280-7. Retrieved 12 May 2021.
  3. Dorman, Michael (28 January 2020). Introduction to Web Mapping. CRC Press. p. 312. ISBN 978-1-000-76880-0. Retrieved 12 May 2021.
  4. Abernathy, David (19 October 2016). Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World. SAGE. ISBN 978-1-4739-6578-2. Retrieved 12 May 2021.
  5. "Système D". systemed.net. 2012-10-23. Archived from the original on 2012-10-23. Retrieved 2020-11-04.
  6. "Six ventures bring data to the public as winners of Knight News Challenge". Knight Foundation.
  7. Mapbox (2017-06-29). "Large Investment in OpenStreetMap from Knight Foundation – maps for developers". Medium. Retrieved 2020-11-04.
  8. https://blog.openstreetmap.org/2013/08/23/id-in-browser-editor-now-default-on-openstreetmap/ https://github.com/openstreetmap/openstreetmap-website/pull/453
  9. Mapping and the citizen sensor. London: Ubiquity Press. 2017. p. 190. ISBN 978-1-911529-17-0.
  10. "MapWithAI".
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