Modeling and comparing change using spatiotemporal helixes

  • Authors:
  • Anthony Stefanidis;Kristin Eickhorst;Peggy Agouris;Panos Partsinevelos

  • Affiliations:
  • University of Maine, Orono, ME;University of Maine, Orono, ME;University of Maine, Orono, ME;University of Maine, Orono, ME

  • Venue:
  • GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

Spatiotemporal helixes are a novel way to model spatiotemporal change. They represent both the movement of an object, as it is expressed by the trajectory of its center, and the changes of its outline. Accordingly they are highly suitable to communicate the evolution of phenomena as they are captured e.g. in sequences of imagery. In this paper we present the spatiotemporal helix model and introduce spatiotemporal similarity metrics for the comparison of helixes. These metrics allow us to compare the behavior of different objects over time, and express the degree of their similarity. To demonstrate the application of our models and metrics we present experimental results.