2001 | OriginalPaper | Buchkapitel
Visualization of Generalized Voronoi Diagrams
verfasst von : Alexandru Telea, Jarke J. van Wijk
Erschienen in: Data Visualization 2001
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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Voronoi diagrams are an important data structure in computer science. However well studied mathematically, understanding such diagrams for different metrics, orders, and site shapes is a complex task. We propose a new method to visualize k-order diagrams and give an efficient adaptive implementation for this method. The algorithm is easy to customize for different metrics and site shapes. Its real-time performance makes it suitable for interactive planning and analysis of complex Voronoi configurations in 2D. We illustrate the method for different combinations of metrics and site shapes.