Modeling Herds and Their Evolvements from Trajectory Data

  • Authors:
  • Yan Huang;Cai Chen;Pinliang Dong

  • Affiliations:
  • Department of Computer Science, University of North Texas, Denton, USA;Department of Geography, University of North Texas, Denton, USA;Department of Geography, University of North Texas, Denton, USA

  • Venue:
  • GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
  • Year:
  • 2008

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Abstract

A trajectory is the time-stamped path of a moving entity through space. Given a set of trajectories, this paper proposes new conceptual definitions for a spatio-temporal pattern named Herdand four types of herd evolvements: expand, join, shrink,and leavebased on the definition of a related term flock. Herd evolvements are identified through measurements of Precision, Recall,and F-score. A graph-based representation, Herd Interaction Graph, or Herding, for herd evolvements is described and an algorithm to generate the graph is proposed and implemented in a Geographic Information System (GIS) environment. A data generator to simulate herd movements and their interactions is proposed and implemented as well. The results suggest that herds and their interactions can be effectively modeled through the proposed measurements and the herd interaction graph from trajectory data.