Skip to main content

Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

The growth in the number of users and the volume of information in OpenStreetMap (OSM) indicate the success of this VGI-based project in attracting diverse sets of people from all over the world. A huge amount of information is generated daily by non-professional users and OSM faces the challenge of ensuring data quality. Spatial data quality comprises several basic elements; among them, logical consistency concerns the existence of logical contradictions within a dataset. It is one of the most important elements, but has not been studied much in VGI despite the key role in quality assurance. Because of the participatory nature of data collection and entry in OSM, the common consistency checking routines for spatial data should be revised. Since contributors have different views about objects, data integration in OSM may be considered as a form of multi-representation data combination. In this article, the concept of spatial similarity in multi-representation considering three elements, i.e. directional relationships, topological relationships, and metric distance relationships, is used to build a framework to determine the probable inconsistencies in OSM.

Keywords

  • Volunteered geographic information (VGI)
  • Logical consistency
  • Spatial similarity
  • OSM
  • Topological relations

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-14280-7_2
  • Chapter length: 18 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   119.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-14280-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   159.99
Price excludes VAT (USA)
Hardcover Book
USD   179.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

References

  • Barron C, Neis P, Zipf A (2013) A comprehensive framework for intrinsic OpenStreetMap quality analysis. Trans GIS 43–48. doi:10.1111/tgis.12073

  • Bruns T, Egenhofer MJ (1996) Similarity of spatial scenes. In: Kraak J-M, Molenaar M (eds) Seventh international symposium on spatial data handling. Delft, The Netherlands, pp 173–184

    Google Scholar 

  • Egenhofer MJ, Al-Taha KK (1992) Reasoning about gradual changes of topological relationships. Theories and methods of spatio-temporal reasoning in geographic space. Springer, Berlin, pp 196–219

    CrossRef  Google Scholar 

  • Egenhofer MJ, Sharma J (1993) Topological relations between regions in R2 and Z2. In: Abel D, Ooi BC (eds) Advances in spatial databases–3rd international symposium on large spatial databases, SSD 93, Singapore, Lecture notes in computer science. Springer, Berlin, pp 316–336

    Google Scholar 

  • Egenhofer MJ, Clementini E, Di Felice P (1994) Evaluating inconsistencies among multiple representations. In: Proceedings of the 6th international symposium on spatial data handling, Edinburgh, Scotland, pp 901–920

    Google Scholar 

  • Jokar Arsanjani J, Barron C, Bakillah M, Helbich M (2013) Assessing the Quality of OpenStreetMap contributors together with their contributions. Paper presented at the 16th AGILE international conference on geographic information science, Leuven, Belgium

    Google Scholar 

  • OSM full history dump. http://osm.personalwerk.de/full-history-extracts/. Accessed 20 Sept 2014

  • Girres JF, Touya G (2010) Quality assessment of the French OpenStreetMap dataset. Trans GIS 14(4):435–459

    CrossRef  Google Scholar 

  • Goodchild MF, Li L (2012) Assuring the quality of volunteered geographic information. Spat Stat 1:110–120. doi:10.1016/j.spasta.2012.03.002

    CrossRef  Google Scholar 

  • Goyal R, Egenhofer M (2001) Similarity of cardinal directions. In: Jensen CS, Schneider M, Seeger B, Tsotras VJ (eds) Advances in spatial and temporal databases SE-3. Lecture notes in computer science, vol 2121, Springer, Berlin, pp 36–55

    Google Scholar 

  • Haklay M (2010) How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ Plan 37(4):682–703

    CrossRef  Google Scholar 

  • ISO 19157:2013 Geographic information—data quality. ISO (International Organization of Standardization)

    Google Scholar 

  • Kainz W (1995) Logical consistency. In: Guptill SC, Morrison JL (eds) Elements of spatial data quality, vol 202. Elsevier Science Ltd, Amsterdam, pp 109–137

    Google Scholar 

  • Keßler C, de Groot RTA (2013) Trust as a proxy measure for the quality of volunteered geographic information in the case of OpenStreetMap. In: Geographic information science at the heart of Europe. Springer, Berlin, pp 21–37. doi:10.1007/978-3-319-00615-4_2

  • Keßler C, Trame J, Kauppinen T (2011) Tracking editing processes in volunteered geographic information: the case of OpenStreetMap. In: Duckham M, Galton A, Worboys M (eds) Identifying objects, processes and events in spatio-temporally distributed data (IOPE), workshop at conference on spatial information theory, Belfast, USA

    Google Scholar 

  • KeepRight. http://keepright.at/. Accessed 20 Sept 2014

  • Li B, Fonseca F (2006) TDD: a comprehensive model for qualitative spatial similarity assessment. Spat Cogn Comput 6(1):31–62

    Google Scholar 

  • Morrison JL (1995) Spatial data quality. In: Guptill SC, Morrison JL (eds) Elements of spatial data quality, vol 202. Elsevier Science Ltd, Amsterdam, pp 1–12

    Google Scholar 

  • Neis P, Zielstra D, Zipf A (2011) The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007–2011. Future Internet 4(1):1–21. doi:10.3390/fi4010001

    CrossRef  Google Scholar 

  • OpenStreetMap. http://openstreetmap.org. Accessed 20 Sept 2014

  • OpenStreetMap, full history dump. http://wiki.openstreetmap.org/wiki/Planet.osm/full. Accessed 20 Sept 2014

  • OpenStreetMap quality assurance. http://wiki.openstreetmap.org/wiki/Quality_assurance. Accessed 20 Sept 2014

  • OSM Statistics. http://wiki.openstreetmap.org/wiki/Statistics. Accessed 20 Sept 2014

  • Sui D, Elwood S, Goodchild MF (2013) Prospects for VGI research and the emerging fourth paradigm. In: Elwood S, Goodchild MF, Sui D (eds) Crowdsourcing geographic knowledge. Springer, The Netherlands, pp 361–375. doi:10.1007/978-94-007-4587-2

  • Tversky A (1977) Features of similarity. Psychol Rev 84(4):327–352

    CrossRef  Google Scholar 

  • Wang J, Mülligann C, Schwering A (2011) An empirical study on relevant aspects for sketch map alignment. In: Advancing geoinformation science for a changing world. Springer, Berlin, pp 497–518

    Google Scholar 

  • Worboys MF, Duckham M (2004) GIS: a computing perspective. CRC Press, Florida

    Google Scholar 

  • Zielstra D, Zipf A (2010) A comparative study of proprietary geodata and volunteered geographic information for Germany. In: 13th AGILE international conference on geographic information science, Guimarães, Portugal

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rahim Ali Abbaspour .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Hashemi, P., Ali Abbaspour, R. (2015). Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (eds) OpenStreetMap in GIScience. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-14280-7_2

Download citation