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As witnessed in many recent disastrous events, what-if emergency response is becoming more and more important to prevent hazards, to plan for actions, to quickly respond to minimize losses, and to recover from damages. In this chapter, we propose a complete set of higher order Voronoi diagram-based emergency response system for what-if analysis which is particularly useful in highly dynamic environments...
Higher order Voronoi diagram is a popular way to model higher order information for complex decision making such as "what-if" analysis. Visualising higher order information for moving objects is a challenging task due to the marriage between higher order complexity and dynamic nature of moving objects. Treemap is a popular visualisation method to display hierarchical information as a set...
Higher order information includes k-nearestneighbor information and k-order region information that are of great importance when the first order or lower order information is not functioning. Despite of the importance of direction in spatio-temporal analysis, directional higher order information has received almost no attention. This paper introduces a new directional higher order information dissimilarity...
Segmentation is one popular method for geospatial data mining. We propose efficient and effective sequential-scan algorithms for higher-order Voronoi diagram districting. We extend the distance transform algorithm to include complex primitives (point, line, and area), Minkowski metrics, different weights and obstacles for higher-order Voronoi diagrams. The algorithm implementation is explained along...
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