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Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases

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Bibliographic Details
Published in:Journal of Spatial Information Science
Format: Online Article RSS Article
Published: 2021
Subjects:
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container_title Journal of Spatial Information Science
description
discipline_display Geography
discipline_facet Geography
format Online Article
RSS Article
genre Journal Article
id rss_article:70514
institution FRELIP
journal_source_facet Journal of Spatial Information Science
last_indexed 2026-06-20T21:29:33.752Z
publishDate 2021
publishDateSort 2021
record_format rss_article
spellingShingle Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
Geography
General
Geography
sub_discipline_display General
sub_discipline_facet General
subject_display Geography
General
Geography
subject_facet Geography
General
Geography
title Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
title_alt Hacia la detección, caracterización y calificación de errores de clase de carretera en bases de datos de redes de carreteras generadas por crowdsourcing
Vers la détection, la caractérisation et la notation des erreurs de classe de route dans les bases de données de réseaux routiers participatives
Rumo à detecção, caracterização e classificação de erros de classe de estradas em bancos de dados de redes viárias crowdsourced
title_auth Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
title_es_txt Hacia la detección, caracterización y calificación de errores de clase de carretera en bases de datos de redes de carreteras generadas por crowdsourcing
title_fr_txt Vers la détection, la caractérisation et la notation des erreurs de classe de route dans les bases de données de réseaux routiers participatives
title_full Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
title_fullStr Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
title_full_unstemmed Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
title_pt_txt Rumo à detecção, caracterização e classificação de erros de classe de estradas em bancos de dados de redes viárias crowdsourced
title_short Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
title_sort towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
topic Geography
General
Geography
url https://digitalcommons.library.umaine.edu/josis/vol2021/iss22/2