DocumentCode :
3082897
Title :
Multiscale visualization using data cubes
Author :
Stolte, Chris ; Tang, Diane ; Hanrahan, Pat
Author_Institution :
Stanford Univ., CA, USA
fYear :
2002
fDate :
2002
Firstpage :
7
Lastpage :
14
Abstract :
Most analysts start with an overview of the data before gradually refining their view to be more focused and detailed. Multiscale pan-and-zoom systems are effective because they directly support this approach. However generating abstract overviews of large data sets is difficult, and most systems take advantage of only one type of abstraction: visual abstraction. Furthermore, these existing systems limit the analyst to a single zooming path on their data and thus a single set of abstract views. This paper presents: (1) a formalism for describing multiscale visualizations of data cubes with both data and visual abstraction, and (2) a method for independently zooming along one or more dimensions by traversing a zoom graph with nodes at different levels of detail. As an example of how to design multiscale visualizations using our system, we describe four design patterns using our formalism. These design patterns show the effectiveness of multiscale visualization of general relational databases.
Keywords :
data structures; data visualisation; relational databases; data cubes; large data sets; multiscale pan-and-zoom systems; multiscale visualizations; relational databases; visual abstraction; zoom graph; Data analysis; Data visualization; Filtering; Filters; Pattern analysis; Polarization; Relational databases; Switches; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2002. INFOVIS 2002. IEEE Symposium on
ISSN :
1522-404X
Print_ISBN :
0-7695-1751-X
Type :
conf
DOI :
10.1109/INFVIS.2002.1173141
Filename :
1173141
Link To Document :
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