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Cited by 5Geographic Information Systems StudiesAutomated Road and Building Extraction3D Modeling in Geospatial Applications

The DOI matches its Crossref record.

Rethinking the Buffering Approach for Assessing OpenStreetMap Positional Accuracy

Zhou, Qi·2017·Lecture Notes in Geoinformation and Cartography
DOI 10.1007/978-3-319-57336-6_30
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Crossref · 10.1007/978-3-319-57336-6_30

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Research works printed but not linked: 22

  1. Arsanjani, J. J., Helbich, M., Bakillah, M., Hagenauer, J., & Zipf, A. (2013). Toward mapping land-use patterns from volunteered geographic information. International Journal of Geographical Information Science, 27(12), 2264–2278. · DOI
  2. Bakillah, M., Lauer, J., Liang, S., Zipf, A., Arsanjani, J. J., Mobasheri, A., et al. (2013). Exploiting big VGI to improve routing and navigation services. In H. Karimi (Ed.), Big data techniques and technologies in geoinformatics. Boca Raton: CRC Press.
  3. Bakillah, M., Liang, S., Mobasheri, A., Arsanjani, J. J., & Zipf, A. (2014). Fine-resolution population mapping using OpenStreetMap points-of-interest. International Journal of Geographical Information Science, 28(9), 1940–1963. · DOI
  4. Du, H., Anand, S., Alechina, N., Morley, J., Hart, G., Leibovici, D., et al. (2012). Geospatial information integration for authoritative and crowd sourced road vector data. Transactions in GIS, 16(4), 455–476. · DOI
  5. Fan, H. C., Zipf, A., Fu, Q., & Neis, P. (2014). Quality assessment for building footprints data on OpenStreetMap. International Journal of Geographical Information Science, 28(4), 700–719. · DOI
  6. Girres, J. F., & Touya, G. (2010). Elements of quality assessment of French OpenStreetMap data. Transactions in GIS, 14(4), 435–459. · DOI
  7. Goetz, M. (2013). Towards generating highly detailed 3D CityGML models from OpenStreetMap. International Journal of Geographical Information Science, 27(5), 845–865. · DOI
  8. Goodchild, M. F. (2007). Citizens as sensors: The world of volunteered geography. GeoJournal, 69(4), 211–221. · DOI
  9. Goodchild, M. F. (2008). Assertion and authority: The science of user-generated geographic content. In: Proceedings of the Colloquium for Andrew U. Frank’s 60th Birthday. Vienna University of Technology, Department of Geoinformation and Cartography.
  10. Goodchild, M. F., & Hunter, G. J. (1997). A simple positional accuracy measure for linear features. International Journal of Geographical Information Science, 11(3), 299–306. · DOI
  11. Hagenauer, J., & Helbich, M. (2012). Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks. International Journal of Geographical Information Science, 26(6), 963–982. · DOI
  12. Haklay, M. (2008). How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environment and Planning B: Planning and Design, 4(37), 682–703.
  13. Helbich, M., Amelunxen, C., Neis, P., & Zipf, A. (2012). Comparative spatial analysis of positional accuracy of OpenStreetMap and proprietary geodata. In J. Strobl, T. Blaschke, & G. Griesebner (Eds.), Angewandte Geoinformatik 2012. Berlin: Herbert Wichmann Verlag.
  14. Hochmari, H. H., Zielstra, D., & Neis, P. (2015). Assessing the completeness of bicycle trail and lane features in OpenStreetMap for the United States. Transactions in GIS, 19(1), 63–81. · DOI
  15. Koukoletsos, T., Haklay, M., & Ellul, C. (2012). Assessing data completeness of VGI through an automated matching procedure for linear data. Transactions in GIS, 16(4), 477–498. · DOI
  16. Jiang, B., & Liu, X. (2012). Scaling of geographic space from the perspective of city and field blocks and using volunteered geographic information. International Journal of Geographical Information Science, 26(2), 215–229. · DOI
  17. Over, M., Schilling, A., Neubauer, S., & Zipf, A. (2010). Generating web-based 3D city models from OpenStreetMap: The current situation in Germany. Computers, Environment and Urban Systems, 34(2010), 496–507. · DOI
  18. Wang, M., Li, Q. Q., Hu, Q. W., & Zhou, M. (2013). Quality analysis of open street map data. In: International archives of the photogrammery, remote sensing and spatial information sciences (Vol. XL-2/W1). 2013, 8th International Symposium on Spatial Data Quality, May 30–June 1, 2013, Hong Kong. · DOI
  19. Zielstra, D., & Hochmair, H. H. (2012). Using free and proprietary data to compare shortest-path lengths for effective pedestrian routing in street networks. Transportation Research Record, 2299, 41–47. · DOI
  20. Zielstra, D., Hochmair, H. H., & Neis, P. (2013). Assessing the effect of data imports on the completeness of OpenStreetMap—A United States case study. Transactions in GIS, 17(3), 315–334. · DOI
  21. 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, May 11–14, 2010, Guimarăes, Portugal.
  22. Zhou, P. P., Huang, W., & Jang, J. (2014). Validation analysis of OpenStreetMap data in some areas of China. In The international archives of the photogrammetry, remote sensing and spatial information sciences (Vol. XL-4). ISPRS Technical Commission IV Symposium, May 14–16, 2014, Suzhou, China. · DOI

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Metadata

Authors
Zhou, Q.
Affiliations
China University of Geosciences (CN)
Corresponding author
Zhou, Qi
ORCID
Zhou, Qi
Venue
Lecture Notes in Geoinformation and Cartography
Publisher
Springer International Publishing
Published
2017
Pages
435-448
ISSN
  • 1863-2246 (ISSN-L)
  • 1863-2351
DOI
10.1007/978-3-319-57336-6_30
OpenAlex
W2618770468
Cited by
5
References
0
Citations by year
2026: 1 · 2025: 1 · 2022: 1 · 2019: 2
FWCI
3.51
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Lecture notes in geoinformation and cartography (publishedVersion)
Topics
  • Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Automated Road and Building Extraction
  • Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
Keywords
OpenStreetMap, positional accuracy, road network matching, data quality assessment

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