Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul

Nowadays volunteered geographic information (VGI) and collaborative mapping projects such as OpenStreetMap (OSM) have gained popularity as they not only offer free data but also allow crowdsourced contributions. Spatial data entry in this manner creates quality concerns for further use of the VGI da...

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Main Author: Basaraner Melih
Format: Article
Language:English
Published: Sciendo 2020-09-01
Series:Polish Cartographical Review
Subjects:
Online Access:https://doi.org/10.2478/pcr-2020-0010
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author Basaraner Melih
author_facet Basaraner Melih
author_sort Basaraner Melih
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description Nowadays volunteered geographic information (VGI) and collaborative mapping projects such as OpenStreetMap (OSM) have gained popularity as they not only offer free data but also allow crowdsourced contributions. Spatial data entry in this manner creates quality concerns for further use of the VGI data. In this regard, this article focuses on the assessments of geometric and semantic quality of the OSM building features (BFs) against a large-scale topographic (TOPO) data belonging to some areas of Istanbul. The comparison is carried out based on the one-to-one matched BFs according to a geometric matching ratio. In geometric terms, various parameters of position (i.e. X, Y), size (i.e. area, perimeter and granularity), shape (i.e. convexity, circularity, elongation, equivalent rectangular index, rectangularity and roughness index), and orientation (i.e. orientation angle) elements are computed and compared. In semantic terms, BF type coherences are evaluated. According to the findings of geometric quality, the average positional difference was less than three meters. In addition, the perimeter values tended to decrease while area and granularity values tended to increase in OSM data against TOPO data. Those showed that the level of the detail of the OSM BFs was lower than TOPO BFs in general. This was also confirmed by the decreasing tendency of shape complexity according to the parameters of shape element. Orientation angle differences was often low except for some special cases. It was found that the scale of the OSM dataset, even though not homogenous, approximately corresponded to the lower limit of medium scale maps (i.e. 1:10,000) or a slightly smaller scale. According to the findings of semantic quality, in case of the presence of specific type definition, the coherence was rather high between OSM and TOPO BFs while the most OSM BFs did not have a specific type attribute. This study showed that the matching process needed some improvements while the followed approach was largely successful in the evaluation of the matched buildings from geometric and semantic aspects.
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spelling doaj.art-cd918692f0274415a32a655b4b1b5bb92022-12-22T02:45:36ZengSciendoPolish Cartographical Review0324-83212450-69662020-09-015239410710.2478/pcr-2020-0010Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of IstanbulBasaraner Melih0Yildiz Technical University, Department of Geomatic Engineering Division of Cartography, Istanbul, TurkeyNowadays volunteered geographic information (VGI) and collaborative mapping projects such as OpenStreetMap (OSM) have gained popularity as they not only offer free data but also allow crowdsourced contributions. Spatial data entry in this manner creates quality concerns for further use of the VGI data. In this regard, this article focuses on the assessments of geometric and semantic quality of the OSM building features (BFs) against a large-scale topographic (TOPO) data belonging to some areas of Istanbul. The comparison is carried out based on the one-to-one matched BFs according to a geometric matching ratio. In geometric terms, various parameters of position (i.e. X, Y), size (i.e. area, perimeter and granularity), shape (i.e. convexity, circularity, elongation, equivalent rectangular index, rectangularity and roughness index), and orientation (i.e. orientation angle) elements are computed and compared. In semantic terms, BF type coherences are evaluated. According to the findings of geometric quality, the average positional difference was less than three meters. In addition, the perimeter values tended to decrease while area and granularity values tended to increase in OSM data against TOPO data. Those showed that the level of the detail of the OSM BFs was lower than TOPO BFs in general. This was also confirmed by the decreasing tendency of shape complexity according to the parameters of shape element. Orientation angle differences was often low except for some special cases. It was found that the scale of the OSM dataset, even though not homogenous, approximately corresponded to the lower limit of medium scale maps (i.e. 1:10,000) or a slightly smaller scale. According to the findings of semantic quality, in case of the presence of specific type definition, the coherence was rather high between OSM and TOPO BFs while the most OSM BFs did not have a specific type attribute. This study showed that the matching process needed some improvements while the followed approach was largely successful in the evaluation of the matched buildings from geometric and semantic aspects.https://doi.org/10.2478/pcr-2020-0010openstreetmapbuilding featuresgeometric data qualitysemantic data qualitytopographic data
spellingShingle Basaraner Melih
Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
Polish Cartographical Review
openstreetmap
building features
geometric data quality
semantic data quality
topographic data
title Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
title_full Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
title_fullStr Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
title_full_unstemmed Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
title_short Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
title_sort geometric and semantic quality assessments of building features in openstreetmap for some areas of istanbul
topic openstreetmap
building features
geometric data quality
semantic data quality
topographic data
url https://doi.org/10.2478/pcr-2020-0010
work_keys_str_mv AT basaranermelih geometricandsemanticqualityassessmentsofbuildingfeaturesinopenstreetmapforsomeareasofistanbul