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Analyzing Relative Motion within Groups ofTrackable Moving Point Objects

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2478))

Abstract

The overall goal of the ongoing project is to develop methods for spatio-temporal analysis of relative motion within groups of moving point objects, such as GPS-tracked animals. Whereas recent efforts of dealing with dynamic phenomena within the GIScience community mainly concentrated on modeling and representation, this research project concentrates on the analytic task. The analysis is performed on a process level and does not use the traditional cartographic approach of comparing snapshots. The analysis concept called REMO (RElative MOtion) is based on the comparison of motion parameters of objects over time. Therefore the observation data is transformed into a 2.5-dimensional analysis matrix, featuring a time axis, an object axis and motion parameters. This matrix reveals basic searchable relative movement patterns. The current approach handles points in a pure featureless space. Case study data of GPS-observed animals and political entities in an ideological space are used for illustration purposes.

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References

  1. Bertin, J. La Graphique et le Traitement Graphique de l’Information. Flammarion, Paris (1977)

    Google Scholar 

  2. Frank, A. Socio-Economic Units: Their Life and Motion. In: Frank, A., Raper, J., and Cheylan, J.-P. (eds.) Life and Motion of Socio-Economic Units. Taylor & Francis, London (2001) 21–34

    Google Scholar 

  3. Haggett, P. Geography: A Modern Synthesis. Harper and Row, New York (1983)

    Google Scholar 

  4. Hermann, M. and Leuthold, H. Weltanschauung und ihre soziale Basis im Spiegel der Volksabstimmungen. Swiss Political Science Review 7:4 (2001) 39–63

    Google Scholar 

  5. Hornsby, K. and Egenhofer, M. Identity-Based Change: A Foundation for Spatio-Temporal Knowledge Representation. International Journal of Geographical Information Science 14:3 (2000) 207–224

    Article  Google Scholar 

  6. Hulbert, I. GPS and Its Use in Animal Telemetry: The Next Five Years. In: Sibbald, A. and Gordon, I. (eds.) Proceedings of the Conference Tracking Animals with GPS, Aberdeen, (2001) 51–60

    Google Scholar 

  7. Imfeld, S. Time, Points and Space—Towards a Better Analysis of Wildlife Data in GIS. Ph.D. Thesis, Department. of Geography, University of Zürich, Switzerland (2000)

    Google Scholar 

  8. Langran, G. Time in Geographic Information Systems. Taylor & Francis, London (1992)

    Google Scholar 

  9. Muller, J.-C. A Geoprocessing Tool for the Management of Spatial Data: Automated Se-riation. In: Marble, D., Brassel, K., Peuquet, D., and Kishimoto, H, (eds.) Proceedings of the International Symposium on Spatial Data Handling, 1984, Zurich (1984) 127–139

    Google Scholar 

  10. Openshaw, S., Turton, I., and Macgill J. Using the Geographical Analysis Machine to Analyze Limiting Long-term Illness Census Data. Geographical & Environmental Modelling, 3:1 (1999)83–99

    Google Scholar 

  11. Peuquet, D. Making Space for Time: Issues in Space-Time Data Representation. GeoIn-formatica, 5:1 (2001) 11–32

    Google Scholar 

  12. Wolfson, O, Xu, B., Chamberlain, S., and Jiang, L. Moving Object Databases: Issues and Solutions. In: Proceedings of the 10th Int. Conference on Scientific and Statistical Data-base Management (SSDBM98), Capri, Italy (1998) 111–122

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Laube, P., Imfeld, S. (2002). Analyzing Relative Motion within Groups ofTrackable Moving Point Objects. In: Egenhofer, M.J., Mark, D.M. (eds) Geographic Information Science. GIScience 2002. Lecture Notes in Computer Science, vol 2478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45799-2_10

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  • DOI: https://doi.org/10.1007/3-540-45799-2_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44253-0

  • Online ISBN: 978-3-540-45799-2

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