|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
| ASCII Text | x | ||
| Chris Stolte, Diane Tang, Pat Hanrahan, "Multiscale Visualization Using Data Cubes "InfoVis 2002 Best Paper"," Information Visualization, IEEE Symposium on, pp. 7, 2002 IEEE Symposium on Information Visualization (InfoVis 2002), 2002. | |||
| BibTex | x | ||
| @article{ 10.1109/INFVIS.2002.1173141, author = {Chris Stolte and Diane Tang and Pat Hanrahan}, title = {Multiscale Visualization Using Data Cubes "InfoVis 2002 Best Paper"}, journal ={Information Visualization, IEEE Symposium on}, volume = {0}, year = {2002}, issn = {1522-404X}, pages = {7}, doi = {http://doi.ieeecomputersociety.org/10.1109/INFVIS.2002.1173141}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Information Visualization, IEEE Symposium on TI - Multiscale Visualization Using Data Cubes "InfoVis 2002 Best Paper" SN - 1522-404X SP EP A1 - Chris Stolte, A1 - Diane Tang, A1 - Pat Hanrahan, PY - 2002 VL - 0 JA - Information Visualization, IEEE Symposium on ER - | |||
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.