Paper Info
Title
Exploring spatiotemporal patterns by integrating visual analytics with a moving objects database system
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.
Year
DOI
Venue
2011
10.1145/2093973.2094060
GIS
Keywords
Field
DocType
missed approach,certain temporal order,movement pattern,atc data,query tool,visual analytics,objects database system,secondo dbms system,air traffic control system,real atc data,visual analytics system,spatiotemporal pattern,temporal constraint,air traffic control
Data mining,Subject-matter expert,Air traffic control,Computer science,Visual analytics,Missed approach,Artificial intelligence,Predicate (grammar),Plug-in,Machine learning,Database,Query formulation,Spatiotemporal pattern
Conference
Citations 
PageRank 
References 
10
0.58
6
Authors
6
Name
Order
Citations
PageRank
Mahmoud Attia Sakr1101.93
Gennady Andrienko23106208.19
Thomas Behr330115.04
Natalia Andrienko42922192.14
Ralf Hartmut Güting52270360.80
Christophe Hurter668447.30