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Exploring spatiotemporal patterns by integrating visual analytics with a moving objects database system

 
: Sakr, M.; Andrienko, G.; Behr, T.; Andrienko, N.; Güting, R.H.; Hurter, C.

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Association for Computing Machinery -ACM-, Special Interest Group on Spatial Information:
GIS 2011, 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Proceedings : November 1-4, 2011, Chicago, Illinois
New York: ACM, 2011
ISBN: 978-1-4503-1031-4
pp.505-508
International Conference on Advances in Geographic Information Systems (GIS) <19, 2011, Chicago/Ill.>
English
Conference Paper
Fraunhofer IAIS ()

Abstract
In previous work, we have proposed a tool for Spatiotemporal Pattern Query. It matches individual moving object trajectories against a given movement pattern. For example, it can be used to find the situations of Missed Approach in ATC data (Air Traffic Control systems, used for tracking the movement of aircrafts), where the landing of the aircraft was interrupted for some reason. This tool expresses the pattern as a set of predicates that must be fulfilled in a certain temporal order. It is implemented as a Plugin to the Secondo DBMS system. Although the tool is generic and flexible, domain expertise is required to formulate and tune queries. The user has to decide the set of predicates, their arguments, and the temporal constraints that best describe the pattern. This paper demonstrates a novel solution where a Visual Analytics system, V-Analytics, is used in integration with this query tool to help a human analyst explore such patterns. The demonstration is based on a real ATC data set.

: http://publica.fraunhofer.de/documents/N-208862.html