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Privacy and data explosion issues are major concerns in intelligence and security informatics. An areal data representation is a popular way to overcome these two issues. As data grows at an unprecedented rate, there still needs an improvement in area data representations to be more scalable. This paper determines the potential for an alternative areal representation that can offer performance benefits...
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...
We propose a flexible raster image districting framework based on generalized Voronoi diagrams through Euclidean distance transforms. We introduce a three-scan algorithm that segments raster images in O(N) time when N is the number of pixels. The algorithm is capable of handling generators of complex types (point, line and area), Minkowski metrics and different weights. This paper also provides applications...
In this article, we propose a general-purpose disaster support system based on generalized (multiplicatively-weighted order-k Minkowski-metric) Voronoi diagrams. The proposed system is capable of handling disasters (or emergency units) having different weights in the complete order from 1 to k in the three popular Minkowski metrics (Euclidean, Manhattan and Maximum distance space). The proposed model...
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