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Correlation Analysis of Discrete Motions
Department of Geoinformation and Cartography, Vienna University of Technology.ORCID iD: 0000-0001-5572-7395
2006 (English)In: GEOGRAPHIC INFORMATION SCIENCE, PROCEEDINGS / [ed] M. Raubal, H. J. Miller, A. U. Frank, and M. F. Goodchild, Springer Berlin/Heidelberg, 2006, 370-382 p.Conference paper (Refereed)
Abstract [en]

Points are dimensionless geometric elements often employed by geographic information systems to model a range of real-world objects such as people and vehicles. Many analytical tools have been developed for finding and validating certain patterns of static points such as clustering. In this paper, we present our preliminary efforts to develop statistical methods for analyzing patterns of moving points whose locations are tracked at equal intervals of time. Focus is placed on simple descriptive statistics—rather than more sophisticated inferential statistics—useful for detecting a tendency of two or more points to move in some coordinated fashion. A major implication of this paper is that statistical analysis complements spatial data query and modeling with respect to dynamics of sets of point-like objects in a way that potentially interrelated subsets are screened.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2006. 370-382 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 4197
National Category
Computer Science
URN: urn:nbn:se:kth:diva-66483DOI: 10.1007/11863939_24ISI: 000241576100024ISBN: 3-540-44526-9OAI: diva2:484150
4th International Conference on Geographic Information Science. Munster, GERMANY. SEP 20-23, 2006

QC 20120127

Available from: 2012-01-26 Created: 2012-01-26 Last updated: 2016-05-16Bibliographically approved

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Shirabe, Takeshi
Computer Science

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