Quality assessment of OpenStreetMap data using trajectory mining

References

• Abraham, T., and J. F. Roddick. 1998. “Opportunities for Knowledge Discovery in Spatio-Temporal Information Systems.” Australasian Journal of Information Systems 5 (2): 3–12.
   Google Scholar
• Agrawal, R., T. Imielinski, and A. N. Swami. 1993. “A Mining Association Rules between Sets of Items in Large Databases.” In Proc. ACM SIGMOD Conf. on Management of Data, 207–216. New York, NY: ACM.
   Google Scholar
• Ali, A. L., F. Schmid, R. Al-Salman, and T. Kauppinen. 2014. “Ambiguity and Plausibility: Managing Classification Quality in Volunteered Geographic Information.” Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 143–152. New York, NY: ACM.
   Google Scholar
• Allen, J. F. 1983. “Maintaining Knowledge about Temporal Intervals.” Communications of the ACM 26 (11): 832–843.10.1145/182.358434
   Web of Science ®Google Scholar
• Amirian, P., A. Basiri, G. Gales, A. Winstanley, and J. McDonald. 2015. “The Next Generation of Navigational Services Using OpenStreetMap Data: The Integration of Augmented Reality and Graph Databases.” In OpenStreetMap in GIScience − Experiences, Research, and Applications, edited by J. Jokar Arsanjani, A. Zipf, P. Mooney, M. Helbich, 211−228. Berlin Heidelberg: Springer.
   Google Scholar
• Arsanjani, J. J., P. Mooney, A. Zipf, and A. Schauss. 2015. “Quality Assessment of the Contributed Land Use Information from OpenStreetMap versus Authoritative Datasets.” In OpenStreetMap in GIScience, Experiences, Research, and Applications (LNCS), edited by J. Jokar Arsanjani, A. Zipf, P. Mooney, M. Helbich, 37–58. Berlin Heidelberg: Springer.
   Google Scholar
• Ather, A. 2009. “A Quality Analysis of OpenStreetMap Data.” Master’s Thesis, University College London.
   Google Scholar
• Barron, C., P. Neis, and A. Zipf. 2014. “A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis.” Transactions in GIS 18 (6): 877–895.10.1111/tgis.12073
   Web of Science ®Google Scholar
• Basiri, A., and M. R. Malek. 2014. “Providing Relevant Information in an Ambient Services Using Service Requester’s “Logical Area”.” Journal of Ambient Intelligence and Humanized Computing 5 (4): 539–549.10.1007/s12652-012-0145-8
   Web of Science ®Google Scholar
• Basiri, A., P. Amirian, and A. Winstanley. 2014. “The Use of Quick Response (QR) Codes in Landmark-Based Pedestrian Navigation.” International Journal of Navigation and Observation 2014: 897103.
   Google Scholar
• Basiri, A., P. Petolta, P. F. Silva, E. S. Lohan, T. Moore, and C. Hill. 2015. “Indoor Positioning Technology Assessment Using Analytic Hierarchy Process for Pedestrian Navigation Services.” In International Conference on Localization GNSS. Gothenburg, Sweden: IEEE.
   Google Scholar
• Basiri, A., P. Amirian, A. Winstanley, S. Marsh, T. Moore, and G. Gales. 2016. “Seamless Pedestrian Positioning and Navigation Using Landmarks.” Journal of Navigation 69 (01): 24–40.10.1017/S0373463315000442
   Web of Science ®Google Scholar
• Chow, C. Y., and M. F. Mokbel. 2011. “Privacy of Spatial Trajectories.” In Computing with Spatial Trajectories, edited by Y. Zheng, X. Zhou, 109–141. Berlin Heidelberg: Springer.
   Google Scholar
• Dodge, S., R. Weibel, and A.-K. Lautenschütz. 2008. “Towards a Taxonomy of Movement Patterns.” Information Visualization 7: 240–252.10.1057/palgrave.ivs.9500182
   Web of Science ®Google Scholar
• Fan, H., A. Zipf, Q. Fu, and P. Neis. 2014. “Quality Assessment for Building Footprints Data on OpenStreetMap.” International Journal of Geographical Information Science 28 (4): 700–719.10.1080/13658816.2013.867495
   Web of Science ®Google Scholar
• Feuerhake, U. 2012. “Prediction of Individual’s Movement Based on Interesting Places.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 1–2: 31–36.10.5194/isprsannals-I-2-31-2012
   Google Scholar
• Flanagin, A., and M. Metzger. 2008. “The Credibility of Volunteered Geographic Information.” GeoJournal 72 (3–4): 137–148.10.1007/s10708-008-9188-y
   Google Scholar
• Fonte, C. C., L. Bastin, L. See, G. Foody, and F. Lupia. 2015. “Usability of VGI for Validation of Land Cover Maps.” International Journal of Geographical Information Science 29: 1269–1291.
   Web of Science ®Google Scholar
• Freksa, C. 1992. “Using Orientation Information for Qualitative Spatial Reasoning.” Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, LNCS 639: 162–178.10.1007/3-540-55966-3
   Google Scholar
• Ghinita, G., P. Kalnis, and S. Skiadopoulos. 2007. “MobiHide: A Mobilea Peer-to-Peer System for Anonymous Location-Based Queries.” Advances in Spatial and Temporal Databases, Lecture Notes in Computer Science 4605: 221–238.10.1007/978-3-540-73540-3
   Google Scholar
• Gidofalvi, G., X. Huang, and T. B. Pedersen. 2007. “Privacy Preserving Data Mining on Moving Object Trajectories.” In Proceedings of the 8th IEEE International Conference on Mobile Data Management, 60−68. Mannheim, Germany, May 7−11.
   Google Scholar
• Goodchild, M. F. 2007. “Citizens as Sensors: The World of Volunteered Geography.” GeoJournal 69 (4): 211–221.10.1007/s10708-007-9111-y
   Google Scholar
• Goodchild, M. F., and J. A. Glennon. 2010. “Crowdsourcing Geographic Information for Disaster Response: A Research Frontier.” International Journal of Digital Earth 3 (3): 231–241.10.1080/17538941003759255
   Web of Science ®Google Scholar
• Haklay, M. 2010. “How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets.” Environment and Planning B, Planning and Design 37 (4): 682–703.10.1068/b35097
   Web of Science ®Google Scholar
• Haklay, M., and P. Weber. 2008. “OpenStreetMap: User-Generated Street Maps.” IEEE Pervasive Computing 7 (4): 12–18.10.1109/MPRV.2008.80
   Web of Science ®Google Scholar
• Haklay, M., A. Singleton, and C. Parker. 2008. “Web Mapping 2.0: The Neogeography of the GeoWeb.” Geography Compass 2 (6): 2011–2039.10.1111/geco.2008.2.issue-6
   Google Scholar
• Haklay, M., S. Basiouka, V. Antoniou, and A. Ather. 2010. “How Many Volunteers Does It Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information.” The Cartographic Journal 47 (4): 315–322.10.1179/000870410X12911304958827
   Web of Science ®Google Scholar
• Hashemi, P., and R. A. Abbaspour. 2015. “Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept.” In OpenStreetMap in GIScience, Experiences, Research, and Applications (LNCS), edited by J. Jokar Arsanjani, A. Zipf, P. Mooney, and M. Helbich, 19–36. Berlin Heidelberg: Springer.
   Google Scholar
• Helbich, M., C. Amelunxen, P. Neis, and A. Zipf. 2012. “Comparative Spatial Analysis of Positional Accuracy of OpenStreetMap and Proprietary Geodata.” In Proceedings of GI_Forum 2012, 24−33. July 5−8, Salzburg, Ausrtia.
   Google Scholar
• Herfort, B., M. Eckle, and A. Zipf. 2015. “Towards Assessing the Quality of Volunteered Geographic Information from OpenStreetMap for Identifying Critical Infrastructures.” In Proceedings of the ISCRAM 2015 Conference. May 24−27, Kristiansand, Norway.
   Google Scholar
• Hornsby, K., and M. Egenhofer. 1998. “Identity-Based Change Operations for Composite Objects.” In Eighth International Symposium on Spatial Data Handling, edited by T. Poiker and N. Chrisman, 202–213. July, Vancouver, Canada.
   Google Scholar
• JOSM. n. d. “Java OSM Editor.” Accessed April 12, 2014. http://josm.openstreetmap.de
   Google Scholar
• Kalnis, P., G. Ghinita, K. Mouratidis, and D. Papadias. 2007. “Preventing Location-Based Identity Inference in Anonymous Spatial Queries.” IEEE Transactions on Knowledge and Data Engineering 19 (12): 1719–1733.10.1109/TKDE.2007.190662
   Web of Science ®Google Scholar
• KeepRight. 2012. “Data Consistency Checks for OSM.” Accessed April 12, 2014. http://keepright.at
   Google Scholar
• Koukoletsos, T., M. Haklay, and C. Ellul. 2012. “Assessing Data Completeness of VGI through an Automated Matching Procedure for Linear Data.” Transactions in GIS 16 (4): 477–498.10.1111/j.1467-9671.2012.01304.x
   Web of Science ®Google Scholar
• Kounadi, O. 2009. Assessing the Quality of OpenStreetMap Data. Msc Geographical Information Science: University College of London Department of Civil, Environmental and Geomatic Engineering.
   Google Scholar
• Kuntzsch, C., and A. Bohn. 2013. “A Framework for on-Line Detection of Custom Group Movement Patterns.” In Progress in Location-Based Services Lecture Notes in Geoinformation and Cartography, edited by J. M. Krisp, 91–107. Heidelberg: Springer.
   Google Scholar
• Lee, W. C., and J. Krumm. 2011. “Trajectory Processing.” In Computing with Spatial Trajectories, edited by Y. Zheng and X. Zhou, 1–31. Berlin Heidelberg: Springer.
   Google Scholar
• Li, Q., Y. Zheng, X. Xie, Y. Chen, W. Liu, and M. Ma. 2008. “Mining User Similarity Based on Location History.” In Proceedings of the 16th Annual ACM International Conference on Advances in Geographic Information Systems. New York, NY: ACM.
   Google Scholar
• Ludwig, I., A. Voss, and M. Krause-Traudes. 2011. “A Comparison of the Street Networks of Navteq and OSM in Germany.” In Advancing Geoinformation Sscience for a Changing World, edited by S. Geertman, W. Reinhardt and F. Toppen, 65–84. Berlin Heidelberg: Springer.10.1007/978-3-642-19789-5
   Google Scholar
• Luo, W., H. Tan, L. Chen, and M. N. Lionel. 2013. “Finding Time Period-Based Most Frequent Path in Big Trajectory Data.” In Proceedings of ACM SIGMOD, International Conference of Management of Data, New York, June 22−27; 713−724.
   Google Scholar
• Mondzech, J., and M. Sester. 2011. “Quality Analysis of OpenStreetMap Data Based on Application Needs.” Cartographica: The International Journal for Geographic Information and Geovisualization 46 (2): 115–125.10.3138/carto.46.2.115
   Google Scholar
• Monreale, A., F. Pinelli, R. Trasarti, and F. Giannotti. 2009. “WhereNext: A Location Predictor on Trajectory Pattern Mining.” Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’’09), 637–646. New York, NY: ACM.
   Google Scholar
• Mooney, P., and P. Corcoran. 2011. “Characteristics of Heavily Edited Objects in OpenStreetMap.” Future Internet 4 (1): 285–305.
   Google Scholar
• Mooney, P., P. Corcoran, and A. C. Winstanley. 2010. “Towards Quality Metrics for Openstreetmap.” Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS ‘10, 514–517. New York, NY: ACM.
   Google Scholar
• Neis, P., D. Zielstra, and A. Zipf. 2013. “Comparison of Volunteered Geographic Information Data Contributions and Community Development for Selected World Regions.” Future Internet 5 (2): 282–300.10.3390/fi5020282
   Google Scholar
• Ng, R.T. 1996. “Spatial Data Mining: Discovering Knowledge of Clusters from Maps.”In Proceedings of 1996 ACM-SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, New York, NY: ACM.
   Google Scholar
• Ng, R. T., and J. Han. 1994. “Efficient and Effective Clustering Methods for Spatial Data Mining.” Proceedings of VLDB 1994, September, 12–15. Chile, Santiago.
   Google Scholar
• OpenStreetBugs. n.d. Accessed April 12, 2014. http://openstreetbugs.schokokeks.org/
   Google Scholar
• OSM Inspector. 2012. “OSM Inspector, Geofabrik Tools.” Accessed April 12, 2014. http://tools.geofabrik.de/osmi/
   Google Scholar
• OSM Wiki. n.d. “OpenStreetMap Project Wiki.” Accessed April12, 2014. http://wiki.openstreetmap.org/wiki/
   Google Scholar
• OSMOS. n. d. “OpenStreetMap Oversight Search Engine.” Accessed April 12, 2014. http://osmose.openstreetmap.fr
   Google Scholar
• Pang, L. X., S. Chawla, W. Liu, and Y. Zheng. 2013. “On Detection of Emerging Anomalous Traffic Patterns Using GPS Data.” Data and Knowledge Engineering 87: 357–373.10.1016/j.datak.2013.05.002
   Web of Science ®Google Scholar
• Pourabdollah, A. 2014. “OSM-GB: Using Open Source Geospatial Tools to Create OSM Web Services for Great Britain.” OSGeo Journal 13: 41–50.
   Google Scholar
• Pourabdollah, A., J. Morley, S. Feldman, and M. Jackson. 2013. “Towards an Authoritative OpenStreetMap: Conflating OSM and OS OpenData National Maps’ Road Network.” ISPRS International Journal of Geo-Information 2 (3): 704–728.10.3390/ijgi2030704
   Web of Science ®Google Scholar
• Salk, C. F., T. Sturn, L. See, S. Fritz, and C. Perger. 2015. Assessing Quality of Volunteer Crowdsourcing Contributions: Lessons from the Cropland Capture Game. International Journal of Digital Earth 2015: 1–17.
   Google Scholar
• Scobbler GmbH. 2012. “MapDust Website.” Accessed April 12, 2014. http://www.mapdust.com
   Google Scholar
• Shang, J., Y. Zheng, W. Tong, E. Chang, N. J. Yuan, Y. Zheng, X. Xie, Y. Wang, K. Zheng, and H. Xiong. 2014. “Discovering Urban Functional Zones Using Latent Activity Trajectories.” IEEE Transaction on Knowledge and Data Engineering 27 (3): 1041–1347.
   Google Scholar
• Yavas, G., D. Katsaros, Ö. Ulusoy, and Y. Manolopoulos. 2005. “A Data Mining Approach for Location Prediction in Mobile Environments.” Data & Knowledge Engineering 54 (2): 121–146.
   Web of Science ®Google Scholar
• Yuan, N. J., Y. Zheng, X. Xie, Y. Wang, K. Zheng, and H. Xiong. 2015 “Discovering Urban Functional Zones Using Latent Activity Trajectories.” IEEE Transactions on Knowledge and Data Engineering 27 (3): 712–725.10.1109/TKDE.2014.2345405
   Web of Science ®Google Scholar
• Zhang, L., S. Dalyot, and M. Sester. 2013. “Travel-Mode Classification for Optimizing Vehicular Travel Route Planning.” Progress in Location-Based Services, 277–295. Berlin Heidelberg: Springer.
   Google Scholar
• Zheng, Y. 2015. “Trajectory Data Mining: An Overview.” ACM Transaction on Intelligent Systems and Technology 6 (3): 1–41.
   Web of Science ®Google Scholar
• Zielstra, D., and A. Zipf. 2010. OpenStreetMap Data Quality Research in Germany. GIScience 2010. In Sixth international conference on Geographic Information Science, Zurich, Switzerland.
   Google Scholar