A Quality Study of the OpenStreetMap Dataset for Tehran
AbstractThere has been enormous progress in geospatial data acquisition in the last decade. Centralized data collection, mainly by land surveying offices and local government agencies, has changed dramatically to voluntary data provision by citizens. Among a broad list of initiatives dealing with user generated geospatial information, OpenStreetMap (OSM) is one of the most famous crowd-sourced products. It is believed that the quality of collected information remains a valid concern. Therefore, qualitative assessment of OSM data as the most significant instance of volunteered geospatial information (VGI) is a considerable issue in the geospatial information community. One aspect of VGI quality assessment pertains to its comparison with institutionally referenced geospatial databases. This paper proposes a new quality metric for assessment of VGI accuracy and as well as for quality analysis of OSM dataset by evaluating its consistency with that of a reference map produced by Municipality of Tehran, Iran. A gridded map is employed and heuristic metrics such as Minimum Bounding Geometry area and directional distribution (Standard Deviational Ellipse), evaluated for both VGI and referenced data, are separately compared in each grid. Finally, in order to have a specific output as an integrated quality metric for VGI, its consistency with ground-truth data is evaluated using fuzzy logic. The results of this research verify that the quality of OSM maps in the study area is fairly good, although the spatial distribution of uncertainty in VGI varies throughout the dataset.
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Forghani, M.; Delavar, M.R. A Quality Study of the OpenStreetMap Dataset for Tehran. ISPRS Int. J. Geo-Inf. 2014, 3, 750-763.
Forghani M, Delavar MR. A Quality Study of the OpenStreetMap Dataset for Tehran. ISPRS International Journal of Geo-Information. 2014; 3(2):750-763.Chicago/Turabian Style
Forghani, Mohammad; Delavar, Mahmoud R. 2014. "A Quality Study of the OpenStreetMap Dataset for Tehran." ISPRS Int. J. Geo-Inf. 3, no. 2: 750-763.