NDLI: Modeling and comparing change using spatiotemporal helixes

Content Provider	ACM Digital Library
Author	Agouris, Peggy Partsinevelos, Panos Eickhorst, Kristin Stefanidis, Anthony
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.
Starting Page	86
Ending Page	93
Page Count	8
File Format	PDF
ISBN	1581137303
DOI	10.1145/956676.956688
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Change modeling Spatiotemporal analysis Geographic information systems
Content Type	Text
Resource Type	Article

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Modeling and comparing change using spatiotemporal helixes