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When Generalized Voronoi Diagrams Meet GeoWeb for Emergency Management

  • Christopher Torpelund-Bruin
  • Ickjai Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5477)

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.

Keywords

Voronoi Diagram Police Department Voronoi Region Dominance Region Generalize Voronoi Diagram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Christopher Torpelund-Bruin
    • 1
  • Ickjai Lee
    • 1
  1. 1.School of BusinessJames Cook UniversitySmithfieldAustralia

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