movementpatterns

 

Refrences

Page history last edited by Somayeh Dodge 1 yr ago

References

 

  • Andrienko, N. & Andrienko, G. Designing Visual Analytics Methods for Massive Collection of Movement Data. Cartographica 2007, 42(2): 117-138.
  • Andersson, M., Gudmundsson, J., Laube, P., & Wolle, T. Reporting leadership patterns among trajectories; SAC '07: Proceedings of the 2007 ACM symposium on Applied computing, ACM 2007, 3-7
  • Agrawal, R. & Srikant, R. Mining Sequential Patterns Eleventh International Conference on Data Engineering 1995, IEEE Computer Society, 3.
  • Benkert, M., Gudmundsson, J., Hübner, F. & Wolle, T. Reporting Flock Patterns. Lecture Notes in Computer Science, Springer-Verlag; 2006. 4168: 660-671.
  • Blythe, P.W., Miller, G.F. & Todd, P.M. Human Simulation of Adaptive Behavior: Interactive Studies of Pursuit, Evasion, Courtship, Fighting, and Play. Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, 1996. Cambridge, MA: MIT Press/Bradford Books. 13-22
  • Cao, H.; Mamoulis, N. & Cheung, D. Mining frequent spatio-temporal sequential patterns. In: Fifth IEEE Intl. Conference on Data Mining, 2005, 8.
  • Dodge, s., Weibel, R. and Lautenschütz A.K., (2008); The AGILE workshop on GeoVisualization of Dynamics, Movement and Change, Girona, Spain. (Download pdf)

  • Erwig, M. Toward Spatiotemporal Patterns. In: Caluwe, Rita de, Tré, Guy de & Bordogna, Gloria (eds.): Spatio-Temporal Databases – Flexible Querying and Reasoning. Springer, 2004, 29-54.
  • Fayyad, U., Piatetsky-Shapiro, G. & Smyth, P. From Data Mining to Knowledge Discovery in Databases. AI Magazine, 1996, 17(3): 37-54.
  • Giannotti, F. & Pedreschi, D. Mobility, Data Mining and Privacy – Geographic Knowledge Discovery. Springer-Verlag. eds., 2007
  • Gudmundsson, J., van Kreveld, M.J. & Speckmann, B. Efficient Detection of Motion Patterns in Spatio-temporal Data Sets. GIS 2004, 250-257.
  • Gudmundsson, J. & van Kreveld, M. Computing Longest Duration Flocks in Trajectory Data. In: Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems 2006 (GIS '06), 35 – 42.
  • Gudmundsson, J., Laube, P. & Wolle, T. Movement Patterns in Spatio-Temporal Data. In: Shekhar, S. & Xiong, H. (eds.). Encyclopedia of GIS, Springer-Verlag, 2008.
  • Imfeld, S. Time, Points and Space – Towards a Better Analysis of Wildlife Data. PhD Thesis, Department of Geography, University of Zurich, 2000.
  • Kalnis P., Mamoulis N. and Bakiras S. On discover-ing moving clusters in spatio-temporal data. In: Proc. 9th International Symposium on Spatial and Temporal Databases 2005 (SSTD '05), 364—381.
  • Laube, P. Analysing Point Motion – Spatio-Temporal Data Mining of Geospatial Lifelines. PhD Thesis, Dept. of Geography, University of Zurich, 2005.
  • Laube, P., Imfeld, S. Analyzing relative motion within groups of trackable moving point ob jects. In GIScience 2002, Lecture Notes in Computer Sci-ence, Springer, Berlin, 2478, 142–144.
  • Laube P., van Kreveld M., and Imfeld S. "Finding REMO-Detecting relative motion patterns in geo-spatial lifelines," in Developments in Spatial Data Handling: Proc. of the 11th International Symposium on Spatial Data Handling 2004, Springer, Berlin Heidelberg New York, 201-214.
  • Laube, P. & Purves, R. An Approach to Evaluating Motion Pattern Detection Techniques in Spatio-temporal Data. Computers, Environment and Urban Systems, 2006, 30: 347-374.
  • Laube, P., Imfeld, S. & Weibel R. Discovering Relative Motion Patterns in Groups of Moving Point Objects. International Journal of Geographical Information Science 2005, 19(6): 639-668.
  • Lee, J.W., Paek, O.H. & Ryu, K.H. Temporal Mov-ing Pattern Mining for Location-based Services. Journal of Systems and Software, 2004, 73: 481-490
  • Salvucci, D.D., & Goldberg, J. H. Identifying fixa-tions and saccades in eye-tracking protocols. Proc. of the Eye Tracking Research and Applications Symposium 2000, New York: ACM Press, 71-78.
  • Smyth, C.S. Mining mobile trajectories. In: Miller, H.J. & Han, J. (eds.): Geographic Data Mining and Knowledge Discovery, London: Taylor and Francis, 2001, 337-361.
  • Turchin, P. Quantitative Analysis of Movement: Measuring and Modelling Population Redistribution in Animals and Plants. Sunderland, Massachusetts: Sinauer Publishers, 1998.
  • Yuan, M. & K. Stewart Hornsby, Computation and visualization for the understanding dynamics of geographic domains: A Research Agenda, CRC Press, New York, NY, 2007.

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