Hierarchical Data Representations Based on Planar Voronoi Diagrams

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Date
2000
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Multiresolution representation of high-dimensional scattered data is a fundamental problem in scientific visualization. This paper introduces a data hierarchy of Voronoi diagrams as a versatile solution. Given an arbitrary set of points in the plane, our goal is the construction of an approximation hierarchy using the Voronoi diagram as the essential building block. We have implemented two Voronoi diagram-based algorithms to demonstrate their usefulness for hierarchical scattered data approximation. The first algorithm uses a constant function to approximate the data within each Voronoi cell, and the second algorithm uses the Sibson interpolant [14].
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@inproceedings{
:10.2312/VisSym/VisSym00/063-072
, booktitle = {
Eurographics / IEEE VGTC Symposium on Visualization
}, editor = {
W. de Leeuw and R. van Liere
}, title = {{
Hierarchical Data Representations Based on Planar Voronoi Diagrams
}}, author = {
Schussman, Shirley
and
Bertram, Martin
and
Hamann, Bernd
and
Joy, Kenneth I.
}, year = {
2000
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-5296
}, ISBN = {
3211835156
}, DOI = {
/10.2312/VisSym/VisSym00/063-072
} }
Citation