When Generalized Voronoi Diagrams Meet GeoWeb for Emergency Management

Authors:
Christopher Torpelund-Bruin;Ickjai Lee
Affiliations:
School of Business, James Cook University, Smithfield, Australia QLD4870;School of Business, James Cook University, Smithfield, Australia QLD4870
Venue:
PAISI '09 Proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics
Year:
2009

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Abstract

This article is to investigate a Voronoi-based computational model for Geographic Knowledge Discovery (GKD) from Geo-reference Web 2.0 datasets to provide detailed emergency management analysis of various geospatial settings including various distance metrics; weights modeling different speeds, impacts, sizes, capacities of disasters; point, line and areas of influence representing disasters, obstacles blocking interactions such as political boundaries, rivers, and so on; higher order neighbors in case the first k -nearest neighbors are currently busy or not functioning; any combination of these settings. The framework is analyzed for efficiency and accuracy and tested in a variety of emergency life-cycle phases consisting of real datasets extracted from GeoWeb 2.0 technologies.