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International Conference on Geographic Information Science

GIScience 2004: Geographic Information Science pp 162–178Cite as

3D GIS for Geo-coding Human Activity in Micro-scale Urban Environments

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3234))

Abstract

The study of human activity and movement in space and time has been an important research area in the social sciences. However, the difficulty in collecting and analyzing the space-time activity (STA) data using current 3D location positioning techniques has limits in applying the time-geographic and activity theory to transportation and urban research and analyses. This paper develops a “3D Indoor Geo-Coding” technique to identify 3D indoor locational data for analyzing human activities. For implementing 3D positioning methods, this paper presents (1) to model micro-scale urban environments to be a frame of reference (reference data) to identify distance and direction, in order to obtain locational data, and (2) to develop a 3D indoor geo-coding method to identify locational data on individual activities based on the reference data. Finally, this paper describes the output from implementing the 3D indoor geo-coding technique to demonstrate the potential benefits of the 3D indoor geo-coding technique for improving the speed of emergency response using GIS data of the study area at Minnesota State University-Mankato, MN (USA).

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References

  1. Aichholzer, O., Aurenhammer, F.: Straight Skeletons for General Polygonal Figures in the Plane. In: Cai, J.-Y., Wong, C.K. (eds.) COCOON 1996. LNCS, vol. 1090, pp. 117–126. Springer, Heidelberg (1996)

    Google Scholar 

  2. Beal, J.: Contextual Geolocation: A Specialized Geographic Information System for Improving Location Awareness in Urban and Indoor Network Environments, Master Thesis, Department of Computer Sciences, Minnesota State University-Mankato (2004)

    Google Scholar 

  3. Blum, H.: A Transformation for Extracting New Description of Shape. In: ymposium of Models for Perception of Speech and Visual Forms, pp. 362–380. MIT Press, Cambridge (1967)

    Google Scholar 

  4. Chalmet, L.G., Francis, R.L., Saunders, P.B.: Network Models for Building Evacuation. Management Science 28(1), 86–105 (1982)

    Article  Google Scholar 

  5. Cullen, I., Godson, V., Major, S.: The structure of activity patterns. In: Wilson, A.G. (ed.) Patterns and Processes in Urban and Regional Systems, Pion, London, pp. 281–296 (1972)

    Google Scholar 

  6. Dijkstra, E.W.: A Note on Two Problems in Connection with Graphs. Numerical Mathematics 1, 269–271 (1959)

    Article  MATH  MathSciNet  Google Scholar 

  7. Drummond, W.J.: Address Matching: GIS Technology for Mapping Human Activity Patterns. APA Journal, 240–251 (1995) (Spring)

    Google Scholar 

  8. Dürr, F., Rothermel, K.: On a Location Model for Fine-Grained Geocast. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 18–35. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  9. Flanagan, C., Jennings, C., Flanagan, N.: Automatic GIS data capture and conversion. In: Worboys, M. (ed.) Innovations in GIS 1, pp. 25–38. Taylor & Francis, Bristol (1994)

    Google Scholar 

  10. Hägerstrand, T.: What about people in regional science? Papers of Regional Science Association 24, 7–21 (1970)

    Article  Google Scholar 

  11. Hoppe, B., Tardos, E.: The Quickest Transshipment Problem. In: Proceeding of SODA: ACM-SIAM Symposium on Discrete Algorithms, pp. 433–441 (1995)

    Google Scholar 

  12. Kim, M.: Medial Axis Transform, Unpublished paper from Department of Computer Science, Johns Hopkins University (1998), http://www.cs.jhu.edu/~bishop/vision/medial.htm

  13. Kwan, M.-P.: Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework. Geographical Analysis 30(3), 191–216 (1998)

    Article  Google Scholar 

  14. Kwan, M.-P.: Interactive geovisualization of activity-travel patterns using threedimensional geographical information systems: A methodological exploration with a large data set. Transportation Research C 8, 185–203 (2000)

    Article  Google Scholar 

  15. Kwan, M.-P., Lee, J.: Geovisualization of human activity patterns using 3D GIS: A time-geographic approach. In: Goodchild, M., Janelle, D. (eds.) Spatially Integrated Social Science: Examples in Best Practice, pp. 48–66. Oxford University Press, Oxford (2004)

    Google Scholar 

  16. Kwan, M.-P., Lee, J.: Emergency response after 9/11: the potential of real-time 3D GIS for quick emergency response in micro-spatial environments, Computers, Environment and Urban Systems (in press)

    Google Scholar 

  17. Lee, D.T.: Medial Axis Transformation of a Planar Shape. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-4(4), 363–369 (1982)

    Article  Google Scholar 

  18. Lee, J.: A 3D Data Model for Representing Topological Relationships Between Spatial Entities in Built-Environments, Ph.D. Dissertation, Department of Geography, The Ohio State University (2001)

    Google Scholar 

  19. Lee, J.: A Spatial Access Oriented Implementation of a Topological Data Model for 3D Urban Entities, GeoInformatica (in press)

    Google Scholar 

  20. Longley, P.A., Batty, M. (eds.): Advanced Spatial Analysis: The CASA Book of GIS. ESRI Press, Redlands (2003)

    Google Scholar 

  21. Lu, Q., Hung, Y., Shekhar, S.: Evacuation Planning: A Capacity Contrained Routing Approach. In: Chen, H., Zeng, D.D., Demchak, C., Madhusudan, T. (eds.) Proceedings of the First NSF/NIJ Symposium on Intelligence and Security Information (ISI), Tuson, AZ, pp. 111–125 (2003)

    Google Scholar 

  22. Mainguenaud, M.: Modeling the network component of geographical information systems. International Journal of Geographical Information Systems 9, 575–593 (1995)

    Article  Google Scholar 

  23. Mallick, M.: Mobile and Wireless Design Essentials. Wiley Publishing, Chichester (2003)

    Google Scholar 

  24. Mäntylä, M.: An Introduction to Solid Modelling. Computer Science Press, Rockville (1988)

    Google Scholar 

  25. Miller, H.J.: Measuring space-time accessibility benefits within transportation networks: basic theory and computational procedures. Geographical Analysis 31(2), 187–212 (1999)

    Article  Google Scholar 

  26. Miller, H.J.: What about people in geographic information science? In: Fisher, P., Unwin, D. (eds.) Re-Presenting Geographic Information Systems, John Wiley, Chichester (in press)

    Google Scholar 

  27. Molenaar, M.: An Introduction to the Theory of Spatial Object Modelling for GIS. Taylor & Francis, New York (1998)

    Google Scholar 

  28. Pahlavan, K., Li, X.: Indoor geolocation science and technology: Nextgeneration broadband wireless networks and navigation services. IEEE Communications Magazine, 112–118 (February 2002)

    Google Scholar 

  29. Prasithsangaree, P., Krishnamurthy, P., Chrysanthis, P.K.: On indoor position location with wireless LANs. Telecommunications Program and Department of Computer Science, University of Pittsburgh. Pittsburgh, PA (2001)

    Google Scholar 

  30. Samet, H.: Position Paper for Location-Based Services Meeting: Santa Barbara Conference on Location-Based Services, Center for Spatially Integrated Social Science, Santa Barbara (2001), http://www.csiss.org/events/meeting/location-based/

  31. Shiode, N.: 3D urban models: Recent developments in the digital modeling of urban environments in three-dimensions. GeoJournal 52, 263–269 (2001)

    Article  Google Scholar 

  32. Smith, A.: Adding 3D Visualization Capabilities to GIS (1998), http://www.casa.ucl.ac.uk/venue/3d_visualisation.html

  33. Smith, J.M.: State Dependent Queueing Models in Emergency Evacuation Networks. Transportation Science: Part B 25B (6), 373–389 (1991)

    Google Scholar 

  34. Vittorini, L.D., Robinson, B.: Receiver Frequency Standards-Optimizing Indoor GPS Performance. GPS World 14(11), 40–48 (2003)

    Google Scholar 

  35. White, M.: Tribulations of Automated Cartography and How Mathematics Helps. Cartographica 21, 148–159 (1984)

    Google Scholar 

  36. Weber, J., Kwan, M.-P.: Bringing time back in: A study on the influence of travel time variations and facility opening hours on individual accessibility. Professional Geographer 54(2), 226–240 (2002)

    Article  Google Scholar 

  37. Zhao, Z., Saalfeld, A., Ramirez, R.: A General Line-Following Algorithm for Raster Maps. In: Proceedings of GIS/LIS 1996, Denver, CO, pp. 267–265 (1996)

    Google Scholar 

  38. Zlatanova, S., Verbree, E.: Technological Developments within 3D Location-based Services. In: Proceedings of International Symposium and Exhibition on Geoinformation, Shah Alam, Malaysia, pp. 153–160 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Geography, Minnesota State University, 7 Armstrong Hall, Mankato, MN, 56001, USA

    Jiyeong Lee

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  1. Jiyeong Lee
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Editor information

Editors and Affiliations

  1. National Center for Geographic Information and Analysis and Department of Spatial Information Science and Engineering, University of Maine, Boardman Hall, ME 04469-5711, Orono, USA

    Max J. Egenhofer

  2. SFB/TR 8 Spatial Cognition, Universität Bremen, Bibliothekstr. 1, 28359, Bremen, Germany

    Christian Freksa

  3. University of Utah, 84112-9155, Salt Lake City, UT, USA

    Harvey J. Miller

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© 2004 Springer-Verlag Berlin Heidelberg

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Lee, J. (2004). 3D GIS for Geo-coding Human Activity in Micro-scale Urban Environments. In: Egenhofer, M.J., Freksa, C., Miller, H.J. (eds) Geographic Information Science. GIScience 2004. Lecture Notes in Computer Science, vol 3234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30231-5_11

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  • DOI: https://doi.org/10.1007/978-3-540-30231-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23558-3

  • Online ISBN: 978-3-540-30231-5

  • eBook Packages: Springer Book Archive

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