Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study
OpenStreetMap (OSM) is among the most prominent Volunteered Geographic Information (VGI) initiatives, aiming to create a freely accessible world map. Despite its success, the data quality of OSM remains variable. This study begins by identifying the quality metrics proposed by earlier research to as...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Geomatics |
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| Online Access: | https://www.mdpi.com/2673-7418/3/4/29 |
| _version_ | 1797380907224530944 |
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| author | Milad Moradi Stéphane Roche Mir Abolfazl Mostafavi |
| author_facet | Milad Moradi Stéphane Roche Mir Abolfazl Mostafavi |
| author_sort | Milad Moradi |
| collection | DOAJ |
| description | OpenStreetMap (OSM) is among the most prominent Volunteered Geographic Information (VGI) initiatives, aiming to create a freely accessible world map. Despite its success, the data quality of OSM remains variable. This study begins by identifying the quality metrics proposed by earlier research to assess the quality of OSM building footprints. It then evaluates the quality of OSM building data from 2018 and 2023 for five cities within Québec, Canada. The analysis reveals a significant quality improvement over time. In 2018, the completeness of OSM building footprints in the examined cities averaged around 5%, while by 2023, it had increased to approximately 35%. However, this improvement was not evenly distributed. For example, Shawinigan saw its completeness surge from 2% to 99%. The study also finds that OSM contributors were more likely to digitize larger buildings before smaller ones. Positional accuracy saw enhancement, with the average error shrinking from 3.7 m in 2018 to 2.3 m in 2023. The average distance measure suggests a modest increase in shape accuracy over the same period. Overall, while the quality of OSM building footprints has indeed improved, this study shows that the extent of the improvement varied significantly across different cities. Shawinigan experienced a substantial increase in data quality compared to its counterparts. |
| first_indexed | 2024-03-08T20:43:46Z |
| format | Article |
| id | doaj.art-647a6f03b839424fbf34b914fa1e1cd0 |
| institution | Directory Open Access Journal |
| issn | 2673-7418 |
| language | English |
| last_indexed | 2024-03-08T20:43:46Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geomatics |
| spelling | doaj.art-647a6f03b839424fbf34b914fa1e1cd02023-12-22T14:11:31ZengMDPI AGGeomatics2673-74182023-12-013454156210.3390/geomatics3040029Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative StudyMilad Moradi0Stéphane Roche1Mir Abolfazl Mostafavi2Centre de Recherche en Données et Intelligence Géospatiales, Université Laval, Québec, QC G1V 0A6, CanadaCentre de Recherche en Données et Intelligence Géospatiales, Université Laval, Québec, QC G1V 0A6, CanadaCentre de Recherche en Données et Intelligence Géospatiales, Université Laval, Québec, QC G1V 0A6, CanadaOpenStreetMap (OSM) is among the most prominent Volunteered Geographic Information (VGI) initiatives, aiming to create a freely accessible world map. Despite its success, the data quality of OSM remains variable. This study begins by identifying the quality metrics proposed by earlier research to assess the quality of OSM building footprints. It then evaluates the quality of OSM building data from 2018 and 2023 for five cities within Québec, Canada. The analysis reveals a significant quality improvement over time. In 2018, the completeness of OSM building footprints in the examined cities averaged around 5%, while by 2023, it had increased to approximately 35%. However, this improvement was not evenly distributed. For example, Shawinigan saw its completeness surge from 2% to 99%. The study also finds that OSM contributors were more likely to digitize larger buildings before smaller ones. Positional accuracy saw enhancement, with the average error shrinking from 3.7 m in 2018 to 2.3 m in 2023. The average distance measure suggests a modest increase in shape accuracy over the same period. Overall, while the quality of OSM building footprints has indeed improved, this study shows that the extent of the improvement varied significantly across different cities. Shawinigan experienced a substantial increase in data quality compared to its counterparts.https://www.mdpi.com/2673-7418/3/4/29OpenStreetMapbuilding footprintdata qualitycompletenesspositional accuracy |
| spellingShingle | Milad Moradi Stéphane Roche Mir Abolfazl Mostafavi Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study Geomatics OpenStreetMap building footprint data quality completeness positional accuracy |
| title | Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study |
| title_full | Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study |
| title_fullStr | Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study |
| title_full_unstemmed | Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study |
| title_short | Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study |
| title_sort | evaluating osm building footprint data quality in quebec province canada from 2018 to 2023 a comparative study |
| topic | OpenStreetMap building footprint data quality completeness positional accuracy |
| url | https://www.mdpi.com/2673-7418/3/4/29 |
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