Ludwig-Maximilians-Universität München, Institut für Informatik
Technical Report 94-12
- TITLE:
-
Possibilities and Limits in Visualizing Large Amounts of
Multidimensional Data
- DATE:
-
June 1994
- AUTHORS:
- Daniel A. Keim
- Hans-Peter Kriegel
- {keim, kriegel}@informatik.uni-muenchen.de
- Institut für Informatik
- Universität München
- Leopoldstr. 11B
- D-80802 München (Germany)
- KEYWORDS:
-
Visualizing Large Databases, Visualizing Multidimensional Data, Data Mining and Exploration, Visual Query Systems, Interfaces to Database Systems, Perception of Visualizations
- ABSTRACT:
-
In this paper, we describe our concepts to visualize very large amounts of
multidimensional data. Our visualization technique which has been developed
to support querying of large scientific databases is designed to visualize as
many data items as possible on current display devices. Even if we are able
to use each pixel of the display device to visualize one data item, the number
of data items that can be visualized is quite limited. Therefore, in our
system we introduce reference points (or regions) in multidimensional space
and consider only those data items which are `close' to the reference point.
The data items are arranged according to their distance from the reference
point. Multiple windows are used for the different dimensions of the data
with the distance of each of the dimensions from the reference point (or
region) being represented by color. In exploring the database, the reference
point (or region) may be changed interactively, allowing different portions of
the database to be visualized. To vi sualize larger portions of the database,sequences of visualizations may be generated automatically by moving the
reference point along some path in multidimensional space. Besides describing
our visualization technique and several alternatives, we discuss some of the
perceptual issues that arise in connection with our visualization technique.
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