Pixel-oriented Visualization Techniques for Exploring Very Large Databases (1996)
| Venue: | Journal of Computational and Graphical Statistics |
| Citations: | 19 - 3 self |
BibTeX
@ARTICLE{Keim96pixel-orientedvisualization,
author = {Daniel A. Keim},
title = {Pixel-oriented Visualization Techniques for Exploring Very Large Databases},
journal = {Journal of Computational and Graphical Statistics},
year = {1996},
volume = {5},
pages = {58--77}
}
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Abstract
An important goal of visualization technology is to support the exploration and analysis of very large amounts of data. In this paper, we describe a set of pixeloriented visualization techniques which use each pixel of the display to visualize one data value and therefore allow the visualization of the largest amount of data possible. Most of the techniques have been specifically designed for visualizing and querying large databases. The techniques may be divided into query-independent techniques which directly visualize the data (or a certain portion of it) and query-dependent techniques which visualize the data in the context of a specific query. Examples for the class of query-independent techniques are the screen-filling curve and recursive pattern techniques. The screen-filling curve techniques are based on the well-known Morton and Peano-Hilbert curve algorithms, and the recursive pattern technique is based on a generic recursive scheme which generalizes a wide range of pixel-ori...
