Global and regional level of use of buildings and roads prepared by AI for OSM mapping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00132395" target="_blank" >RIV/00216224:14310/23:00132395 - isvavai.cz</a>
Result on the web
<a href="https://zenodo.org/records/10443308" target="_blank" >https://zenodo.org/records/10443308</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Global and regional level of use of buildings and roads prepared by AI for OSM mapping
Original language description
Despite the hard work of volunteers, OpenStreetMap is still poorly mapped in many parts of the world. Using AI-assisted tools was seen as one possibility to fill data gaps. We search the actual level of AI-assisted mapping, show the overall global level and highlight differences between countries and regions and their temporal evolution. In 2021-2023, a minimum of 5.6% of buildings and 0.8% of principal roads newly created in OSM came from AI-assisted mapping workflow.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
50700 - Social and economic geography
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů