Visual overlay on openstreetmap data to support spatial exploration of Urban Environments

ISPRS International Journal of Geo-Information

Volumn 4, Issue 1, 2015, Pages 87-104

  Kumar, Chandan ^a   Heuten, Wilko ^b   Boll, Susanne ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

^b OFFIS INSTITUTE FOR INFORMATION TECHNOLOGY   (Germany)

Author keywords

OpenStreetMap; Regional search; Spatial querying; Urban data; Visual exploration

Indexed keywords

EID: 84948953194     PISSN: None     EISSN: 22209964     Source Type: Journal    
DOI: 10.3390/ijgi4010087     Document Type: Article

References (38)

1. Goodchild, M.F. Citizens as sensors: The world of volunteered geography. GeoJournal 2007, 69, 211-221.
2. Haklay, M. How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environ. Plan. B Plan. Des. 2010, 37, 682-703.
3. Mooney, P.; Sun, H.; Yan, L. VGI as a dynamically updating data source in location-based services in urban environments. In Proceedings of the 2nd InternationalWorkshop on Ubiquitous Crowdsouring, Beijing, China, 17-21 September 2011; ACM: New York, NY, USA, 2011; pp. 13-16.
4. Thomee, B.; Rae, A. Uncovering locally characterizing regions within geotagged data. In Proceedings of the 22nd international conference on World Wide Web. International World Wide Web Conferences Steering Committee, Rio de Janeiro, Brazil, 13-17 May 2013; pp. 1285-1296.
5. Kumar, C.; Poppinga, B.; Haeuser, D.; Heuten, W.; Boll, S. Geovisual interfaces to find suitable urban regions for citizens: A user-centered requirement study. In Proceedings of the UbiComp13 Adjunct, Zurich, Switzerland, 8-12 September 2013.
6. Kumar, C.; Heuten, W.; Boll, S. A visual interactive system for spatial querying and ranking of geographic regions. In Proceedings of the I-KNOW, 13th ACM International Conference on Knowledge Management and Knowledge Computing, Graz, Austria, 4-6 September 2013; Lindstaedt, S.N., Granitzer, M., Eds.; ACM: New York, NY, USA, 2013; pp. 30:1-30:4.
7. Goetz, M.; Zipf, A. OpenStreetMap in 3D-detailed insights on the current situation in Germany. In Proceedings of the AGILE 2012 International Conference on Geographic Information Science, Avignon, France, 24-27 April 2012; pp. 24-27.
8. Neis, P.; Zielstra, D. Recent developments and future trends in volunteered geographic information research: The case of OpenStreetMap. Future Internet 2014, 6, 76-106.
9. Deparday, V. Enhancing Volunteered Geographical Information (VGI) Visualization with Open Source Web-Based Software; University of Waterloo: Waterloo, Canada, 2011.
10. Roick, O.; Loos, L.; Zipf, A. A technical framework for visualizing spatio-Temporal quality metrics of volunteered geographic information. In Proceedings of the GEOINFORMATIK 2012-Mobility and Environment, Braunschweig, Germany, 28-33 March 2012.
11. Roick, O.; Hagenauer, J.; Zipf, A. OSMatrix-grid-based analysis and visualization of OpenStreetMap. In Proceedings of the State of the Map Europe, Vienna, Austria, 15-17 July 2011; pp. 15-17.
12. Neis, P.; Zipf, A. Openrouteservice. org is three times "open": Combining OpenSource, OpenLS and OpenStreetMaps. In Proceedings of the GIS Research UK (GISRUK 08), Manchester, UK, 2-4 April 2008.
13. Neis, P.; Singler, P.; Zipf, A. Collaborative mapping and emergency routing for disaster logistics-Case studies from the Haiti earthquake and the UN portal for Afrika. In Proceedings of the Geoinformatics Forum, Salzburg, Austria, 6-9 July 2010; pp. 239-248.
14. Ahlers, D.; Boll, S. Location-based web search. In The Geospatial Web; Springer: London, UK, 2007; pp. 55-66.
15. Kumar, C. Relevance and ranking in geographic information retrieval. In Proceedings of the Fourth BCS-IRSG Conference on Future Directions in Information Access, Koblenz, Germany, 31 August 2011; British Computer Society, Swinton, UK, 2011; pp. 2-7.
16. Makropoulos, C.; Butler, D. Spatial ordered weighted averaging: Incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making. Environ. Model. Softw. 2006, 21, 69-84.
17. Rinner, C.; Raubal, M. Personalized multi-criteria decision strategies in location-based decision support. JGIS 2004, 10, 149-156.
18. Rinner, C.; Heppleston, A. The spatial dimensions of multi-criteria evaluation-Case study of a home buyers spatial decision support system. In Geographic Information Science; Springer: Berlin/Heidelberg, Germany, 2006; pp. 338-352
19. Dykes, J.; MacEachren, A.M.; Kraak, M.J. Exploring Geovisualization; Elsevier: Oxford, UK, 2005.
20. Greene, R.; Devillers, R.; Luther, J.E.; Eddy, B.G. GIS-based multiple-criteria decision analysis. Geogr. Compass 2011, 5, 412-432.
21. Keim, D.A.; Kohlhammer, J.; Ellis, G.; Mansmann, F. Mastering the Information Age-Solving Problems with Visual Analytics; Eurographics: Goslar, Germany, 2010.
22. Andrienko, G.; Andrienko, N.; Jankowski, P.; Keim, D.; Kraak, M.J.; MacEachren, A.; Wrobel, S. Geovisual analytics for spatial decision support: Setting the research agenda. Int. J. Geogr. Inf. Sci. 2007, 21, 839-857.
23. Jankowski, P.; Andrienko, N.; Andrienko, G. Map-centerd exploratory approach to multiple criteria spatial decision making. Int. J. Geogr. Inf. Sci. 2001, 15, 101-127.
24. Di Martino, S.; Bimonte, S.; Bertolotto, M.; Ferrucci, F. Integrating google earth within olap tools for multidimensional exploration and analysis of spatial data. In Enterprise Information Systems; Springer: Berlin/Heidelberg, Germany, 2009; pp. 940-951.
25. Trame, J.; Kebler, C. Exploring the Lineage of Volunteered Geographic Information with Heat Maps; GeoViz: Hamburg, Germany, 2011.
26. Kumar, C.; Poppinga, B.; Haeuser, D.; Heuten, W.; Boll, S. Assessing end-user interaction for multi-criteria local search with heatmap and icon-based visualizations. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction, MapInteract 13, Orlando, FL, USA, 5 November 2013; ACM: New York, NY, USA, 2013; pp. 13-19.
27. Over, M.; Schilling, A.; Neubauer, S.; Zipf, A. Generating web-based 3D city models from OpenStreetMap: The current situation in Germany. Comput. Environ. Urban Syst. 2010, 34, 496-507.
28. Zilske, M.; Neumann, A.; Nagel, K. OpenStreetMap for traffic simulation. In Proceedings of the 1st European State of the Map-OpenStreetMap conference, Vienna, Austria, 15-17 July 2011; pp. 126-134.
29. Salingaros, N.A. Theory of the urban web. J. Urban Des. 1998, 3, 53-71.
30. Sinnott, R.O.; Bayliss, C.; Galang, G.; Greenwood, P.; Koetsier, G.; Mannix, D.; Morandini, L.; Nino-Ruiz, M.; Pettit, C.; Tomko, M.; et al. A data-driven urban research environment for Australia. In Proceedings of the 2012 IEEE 8th International Conference onE-Science (e-Science), Chicago, IL, USA, 8-12 October 2012; pp. 1-8.
31. Bak, P.; Omer, I.; Schreck, T. Visual Analytics of Urban Environments Using High-Resolution Geographic Data; Springer: Berlin/Heidelberg, Germany, 2010; pp. 25-42.
32. Coutinho-Rodrigues, J.; Simão, A.; Antunes, C.H. A GIS-based multicriteria spatial decision support system for planning urban infrastructures. Decis. Support Syst. 2011, 51, 720-726.
33. Preotiuc-Pietro, D.; Cranshaw, J.; Yano, T. Exploring venue-based city-To-city similarity measures. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, Chicago, IL, USA, 11-14 August 2013; ACM: New York, NY, USA, 2013; p. 16.
34. Shao, J.; Huang, Z.; Shen, H.T.; Shen, J.; Zhou, X. Distribution-based similarity measures for multi-dimensional point set retrieval applications. In Proceedings of the 16th ACM International Conference on Multimedia, MM08, Vancouver, Canada, 26-31 October 2008; ACM: New York, NY, USA, 2008; pp. 429-438.
35. Henrich, A.; Lödecke, V. Measuring similarity of geographic regions for geographic information retrieval. In Proceedings of the ECIR 09, Toulouse, France, 6-9 April 2009.
36. Qian, G.; Sural, S.; Gu, Y.; Pramanik, S. Similarity between Euclidean and cosine angle distance for nearest neighbor queries. In Proceedings of the 2004 ACM Symposium on Applied Computing, SAC 04, Nicosia, Cyprus, 14-17 March 2004; ACM: New York, NY, USA, 2004; pp. 1232-1237.
37. Kennedy, J.; Eberhart, R. Particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, 27 November-1 December 1995; Volume 4, pp. 1942-1948.
38. Kumar, C.; Gruenefeld, U.; Heuten,W.; Boll, S. Swarming in the urban web space to discover the optimal region. In Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, 11-14 August 2014; Volume 2, pp. 234-241.