A Voronoi-based model for emergency planning using sequential-scan algorithms
Conference Publication ResearchOnline@JCUTorpelund-Bruin, Christopher;Lee, Ickjai
Abstract
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.
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Publication Name
2009 IEEE International Conference on Intelligence and Security Informatics
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ISBN/ISSN
978-1-4244-4172-3
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Pages Count
6
Location
Texas, USA
Publisher
IEEE Computer Society
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Publisher Location
Piscataway, NJ, USA
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EISSN
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DOI
10.1109/ISI.2009.5137276