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ISPRS Int. J. Geo-Inf. 2014, 3(2), 750-763; doi:10.3390/ijgi3020750

A Quality Study of the OpenStreetMap Dataset for Tehran

1
Department of Surveying and Geomatic Engineering, College of Engineering, University of Tehran, Tehran 14174, Iran
2
Center of Excellence in Geomatic Engineering in Disaster Management, Department of Surveying and Geomatic Engineering, College of Engineering, University of Tehran, Tehran 14174, Iran
*
Author to whom correspondence should be addressed.
Received: 8 November 2013 / Revised: 22 April 2014 / Accepted: 8 May 2014 / Published: 22 May 2014
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Abstract

There 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. View Full-Text
Keywords: VGI; spatial data quality; fuzzy; open street map dataset VGI; spatial data quality; fuzzy; open street map dataset
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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