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A Voronoi-based model for emergency planning using sequential-scan algorithms

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2 Author(s)
Christopher Torpelund-Bruin ; School of Business (IT), James Cook University, Townsville, QLD4811, Australia ; Ickjai Lee

We propose efficient and effective sequential-scan algorithms for intelligent emergency planning, spatial analysis and disaster decision support through the use of Voronoi Tessellations. We propose a modified distance transform algorithm to include complex primitives (point, line and area), Minkowski metrics, different weights, obstacles and higher-order Voronoi diagrams. Illustrated examples demonstrate the usefulness and robustness of our proposed computation model.

Published in:

Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on

Date of Conference:

8-11 June 2009