Spatial Accuracy Assessment of Buildings in OpenStreetMap
The aim of this paper is to assess the spatial accuracy of OpenStreetMap (OSM) with respect to the Turkey Topographic Vector Database (TOPOVT) within the context of ‘building’ layer. Being an open-platform, anyone can access to OSM and add geographic entities as well as update them. Since there is...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IJEGEO
2020-08-01
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| Series: | International Journal of Environment and Geoinformatics |
| Subjects: |
| _version_ | 1797914678087647232 |
|---|---|
| author | Kadir Küçük Berk Anbaroğlu |
| author_facet | Kadir Küçük Berk Anbaroğlu |
| author_sort | Kadir Küçük |
| collection | DOAJ |
| description | The aim of this paper is to assess the spatial accuracy of OpenStreetMap (OSM) with respect to the Turkey Topographic Vector
Database (TOPOVT) within the context of ‘building’ layer. Being an open-platform, anyone can access to OSM and add geographic
entities as well as update them. Since there is no stringent standard, spatial accuracy assessment of OSM is an open research area.
TOPOVT, on the other hand, is produced by the General Directorate of Mapping by following a standard procedure, where the maps
are produced for 1:25000 scale or larger scale. Updating this database is a costly process and could only be conducted at specific time
intervals. Therefore, automatic detection of the locations requiring update in TOPOVT would be an effective operation, which would
eventually reduce the overall cost of the database update. However, the spatial accuracy of the geographical features have to be
analyzed in order to support such a motivation. Therefore, the aim of this paper is to assess the spatial accuracy of ‘building’ layer by
calculating the Hausdorff distance between the matching (homologous) polygons in OSM and TOPOVT. The proposed methodology
consists of two methods to detect the matching polygons: ‘overlap method’ and ‘centroid method’. Hausdorff distance is calculated
for only those intersecting buildings in both of the layers. Since it is safe to assume that the intersecting polygons refer to the same
geographic object, the calculated distance could be used to indicate the spatial accuracy of the building. The developed software is
tested on an urban and a rural environment in Ankara, Turkey. The results indicate that the quality of OSM could well match with
TOPOVT. Specifically, the average Hausdorff distance is approximately the same for both of the methods: approximately 9.5 meters.
Considering that OSM and TOPOVT are generated through completely different processes’, the spatial accuracy is considered to be
‘good’ and ‘useful’ for many practical and operational purposes. In order to increase the effectiveness of the developed methodology
in a real-life context, the whole process is integrated into an ArcMap extension and the code is made available on GitHu |
| first_indexed | 2024-04-10T12:29:57Z |
| format | Article |
| id | doaj.art-95e32263c43c42989b1aba927bf92715 |
| institution | Directory Open Access Journal |
| issn | 2148-9173 2148-9173 |
| language | English |
| last_indexed | 2024-04-10T12:29:57Z |
| publishDate | 2020-08-01 |
| publisher | IJEGEO |
| record_format | Article |
| series | International Journal of Environment and Geoinformatics |
| spelling | doaj.art-95e32263c43c42989b1aba927bf927152023-02-15T16:14:58ZengIJEGEOInternational Journal of Environment and Geoinformatics2148-91732148-91732020-08-0172205212https://doi.org/10.30897/ijegeo.710508Spatial Accuracy Assessment of Buildings in OpenStreetMapKadir Küçük0Berk Anbaroğlu1Hacettepe University, Deptarment of Geomatics Engineering, Ankara, TRHacettepe University, Deptarment of Geomatics Engineering, Ankara, TRThe aim of this paper is to assess the spatial accuracy of OpenStreetMap (OSM) with respect to the Turkey Topographic Vector Database (TOPOVT) within the context of ‘building’ layer. Being an open-platform, anyone can access to OSM and add geographic entities as well as update them. Since there is no stringent standard, spatial accuracy assessment of OSM is an open research area. TOPOVT, on the other hand, is produced by the General Directorate of Mapping by following a standard procedure, where the maps are produced for 1:25000 scale or larger scale. Updating this database is a costly process and could only be conducted at specific time intervals. Therefore, automatic detection of the locations requiring update in TOPOVT would be an effective operation, which would eventually reduce the overall cost of the database update. However, the spatial accuracy of the geographical features have to be analyzed in order to support such a motivation. Therefore, the aim of this paper is to assess the spatial accuracy of ‘building’ layer by calculating the Hausdorff distance between the matching (homologous) polygons in OSM and TOPOVT. The proposed methodology consists of two methods to detect the matching polygons: ‘overlap method’ and ‘centroid method’. Hausdorff distance is calculated for only those intersecting buildings in both of the layers. Since it is safe to assume that the intersecting polygons refer to the same geographic object, the calculated distance could be used to indicate the spatial accuracy of the building. The developed software is tested on an urban and a rural environment in Ankara, Turkey. The results indicate that the quality of OSM could well match with TOPOVT. Specifically, the average Hausdorff distance is approximately the same for both of the methods: approximately 9.5 meters. Considering that OSM and TOPOVT are generated through completely different processes’, the spatial accuracy is considered to be ‘good’ and ‘useful’ for many practical and operational purposes. In order to increase the effectiveness of the developed methodology in a real-life context, the whole process is integrated into an ArcMap extension and the code is made available on GitHuhausdorff distancevolunteered geographic informationtopovtosmarcgis |
| spellingShingle | Kadir Küçük Berk Anbaroğlu Spatial Accuracy Assessment of Buildings in OpenStreetMap International Journal of Environment and Geoinformatics hausdorff distance volunteered geographic information topovt osm arcgis |
| title | Spatial Accuracy Assessment of Buildings in OpenStreetMap |
| title_full | Spatial Accuracy Assessment of Buildings in OpenStreetMap |
| title_fullStr | Spatial Accuracy Assessment of Buildings in OpenStreetMap |
| title_full_unstemmed | Spatial Accuracy Assessment of Buildings in OpenStreetMap |
| title_short | Spatial Accuracy Assessment of Buildings in OpenStreetMap |
| title_sort | spatial accuracy assessment of buildings in openstreetmap |
| topic | hausdorff distance volunteered geographic information topovt osm arcgis |
| work_keys_str_mv | AT kadirkucuk spatialaccuracyassessmentofbuildingsinopenstreetmap AT berkanbaroglu spatialaccuracyassessmentofbuildingsinopenstreetmap |