Exploring movement-similarity analysis of moving objects

  • Authors:
  • Somayeh Dodge;Robert Weibel;Patrick Laube

  • Affiliations:
  • University of Zurich, Zurich, Switzerland;University of Zurich, Zurich, Switzerland;University of Zurich, Zurich, Switzerland

  • Venue:
  • SIGSPATIAL Special
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Extracting knowledge about the movement of different types of mobile agents (e.g. human, animals, vehicles) and dynamic phenomena (e.g. hurricanes) requires new exploratory data analysis methods for massive movement datasets. Different types of moving objects share similarities but also express differences in terms of their dynamic behavior and the nature of their movement. Extracting such similarities can significantly contribute to the prediction, modeling and simulation dynamic phenomena. Therefore, with the development of a quantitative methodology this research intends to investigate and explore similarities in the dynamics of moving objects by using methods of GIScience in knowledge discovery. This paper presents a summary of the ongoing Ph.D. research project.