DocumentCode :
2514585
Title :
Visualization methods for time-dependent data - an overview
Author :
Müller, Wolfgang ; Schumann, Heidrun
Author_Institution :
Dept. of Math. & Comput. Sci., PH Ludwigsburg, Germany
Volume :
1
fYear :
2003
fDate :
7-10 Dec. 2003
Firstpage :
737
Abstract :
Visualization has been successfully applied to analyse time-dependent data for a long time now. Lately, a number of new approaches have been introduced, promising more effective graphs especially for large datasets and multi-parameter data. In this paper, we give an overview on the visualization of time-series data and the available techniques. We provide a taxonomy and discuss general aspects of time-dependent data. After an overview on conventional techniques we discuss techniques for analysing time-dependent multivariate data sets in more detail. After this, we give an overview on dynamic presentation techniques and event-based visualization.
Keywords :
data analysis; data visualisation; time series; data analysis; dynamic presentation techniques; event-based visualization; graphs; large datasets; multiparameter data; multivariate data sets; taxonomy; time-dependent data; time-series data; visualization methods; Computer science; Data analysis; Data engineering; Data visualization; History; Humans; Mathematics; Sensor phenomena and characterization; Taxonomy; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2003. Proceedings of the 2003 Winter
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/WSC.2003.1261490
Filename :
1261490
Link To Document :
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