Next Article in Journal
Private and Secure Distribution of Targeted Advertisements to Mobile Phones
Previous Article in Journal
An Energy Efficient MAC Protocol for Wireless Passive Sensor Networks
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
Future Internet 2017, 9(2), 15; doi:10.3390/fi9020015

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Department of Research, Innovation & Consultancy, I.K. Gujral Punjab Technical University, Jalandhar, Punjab 144603, India
Department of Computer Science & Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India
School of Computer Sciences, Chitkara University, Patiala, Punjab 140401, India
Department of Civil Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India
Author to whom correspondence should be addressed.
Academic Editor: Andrew Crooks
Received: 3 March 2017 / Revised: 11 April 2017 / Accepted: 13 April 2017 / Published: 21 April 2017
View Full-Text   |   Download PDF [1892 KB, uploaded 21 April 2017]   |  


OpenStreetMap (OSM) is a recent emerging area in computational science. There are several unexplored issues in the quality assessment of OSM. Firstly, researchers are using various established assessment methods by comparing OSM with authoritative dataset. However, these methods are unsuitable to assess OSM data quality in the case of the non-availability of authoritative data. In such a scenario, the intrinsic quality indicators can be used to assess the quality. Secondly, a framework for data assessment specific to different geographic information system (GIS) domains is not available. In this light, the current study presents an extension of the Quantum GIS (QGIS) processing toolbox by using existing functionalities and writing new scripts to handle spatial data. This would enable researchers to assess the completeness of spatial data using intrinsic indicators. The study also proposed a heuristic approach to test the road navigability of OSM data. The developed models are applied on Punjab (India) OSM data. The results suggest that the OSM project in Punjab (India) is progressing at a slow peace, and contributors’ motivation is required to enhance the fitness of data. It is concluded that the scripts developed to provide an intuitive method to assess the OSM data based on quality indicators can be easily utilized for evaluating the fitness-of-use of the data of any region. View Full-Text
Keywords: OpenStreetMap; completeness; intrinsic indicators; QGIS OpenStreetMap; completeness; intrinsic indicators; QGIS

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sehra, S.S.; Singh, J.; Rai, H.S. Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox. Future Internet 2017, 9, 15.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top