Year 2020, Volume 7 , Issue 2, Pages 205 - 212 2020-08-15

Spatial Accuracy Assessment of Buildings in Openstreetmap

Kadir Can KÜÇÜK [1] , Berk ANBAROĞLU [2]


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 standards, 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 analysed 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 metres. 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 GitHub.
Hausdorff distance, volunteered geographic information, TOPOVT, spatial analysis, GIS
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Primary Language en
Subjects Engineering
Journal Section Research Articles
Authors

Orcid: 0000-0003-1788-2540
Author: Kadir Can KÜÇÜK
Institution: HACETTEPE ÜNİVERSİTESİ
Country: Turkey


Orcid: 0000-0003-2331-6190
Author: Berk ANBAROĞLU (Primary Author)
Institution: HACETTEPE ÜNİVERSİTESİ
Country: Turkey


Thanks The authors would like to thank General Directorate of Mapping for providing the TOPOVT data. In addition, the authors are also grateful for the feedback provided by Altan Yılmaz and Mustafa Canıberk. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the results presented herein.
Dates

Publication Date : August 15, 2020

Bibtex @research article { ijegeo710508, journal = {International Journal of Environment and Geoinformatics}, issn = {}, eissn = {2148-9173}, address = {}, publisher = {Cem GAZİOĞLU}, year = {2020}, volume = {7}, pages = {205 - 212}, doi = {10.30897/ijegeo.710508}, title = {Spatial Accuracy Assessment of Buildings in Openstreetmap}, key = {cite}, author = {Küçük, Kadir and Anbaroğlu, Berk} }
APA Küçük, K , Anbaroğlu, B . (2020). Spatial Accuracy Assessment of Buildings in Openstreetmap . International Journal of Environment and Geoinformatics , 7 (2) , 205-212 . DOI: 10.30897/ijegeo.710508
MLA Küçük, K , Anbaroğlu, B . "Spatial Accuracy Assessment of Buildings in Openstreetmap" . International Journal of Environment and Geoinformatics 7 (2020 ): 205-212 <https://dergipark.org.tr/en/pub/ijegeo/issue/54146/710508>
Chicago Küçük, K , Anbaroğlu, B . "Spatial Accuracy Assessment of Buildings in Openstreetmap". International Journal of Environment and Geoinformatics 7 (2020 ): 205-212
RIS TY - JOUR T1 - Spatial Accuracy Assessment of Buildings in Openstreetmap AU - Kadir Küçük , Berk Anbaroğlu Y1 - 2020 PY - 2020 N1 - doi: 10.30897/ijegeo.710508 DO - 10.30897/ijegeo.710508 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 205 EP - 212 VL - 7 IS - 2 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.710508 UR - https://doi.org/10.30897/ijegeo.710508 Y2 - 2020 ER -
EndNote %0 International Journal of Environment and Geoinformatics Spatial Accuracy Assessment of Buildings in Openstreetmap %A Kadir Küçük , Berk Anbaroğlu %T Spatial Accuracy Assessment of Buildings in Openstreetmap %D 2020 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 7 %N 2 %R doi: 10.30897/ijegeo.710508 %U 10.30897/ijegeo.710508
ISNAD Küçük, Kadir , Anbaroğlu, Berk . "Spatial Accuracy Assessment of Buildings in Openstreetmap". International Journal of Environment and Geoinformatics 7 / 2 (August 2020): 205-212 . https://doi.org/10.30897/ijegeo.710508
AMA Küçük K , Anbaroğlu B . Spatial Accuracy Assessment of Buildings in Openstreetmap. International Journal of Environment and Geoinformatics. 2020; 7(2): 205-212.
Vancouver Küçük K , Anbaroğlu B . Spatial Accuracy Assessment of Buildings in Openstreetmap. International Journal of Environment and Geoinformatics. 2020; 7(2): 205-212.