Adaptive Multiplicatively Weighted Voronoi Diagrams for Information Space Regionalization

@inproceedings{ReitsmaAdaptiveMW,
  title={Adaptive Multiplicatively Weighted Voronoi Diagrams for Information Space Regionalization},
  author={Ren{\'e} F. Reitsma and Stanislav Trubin and Saurabh Sethia}
}
In an attempt to regionalize and visualize regions of information space, we offer a method for regionalization based on predetermined area relationships. This problem can be conceptualized as an inverse multiplicatively weighted Voronoi diagram. To compute such a diagram, we offer an adaptive algorithm that minimizes area deviations. We apply the method to a spatialization of a web site for undergraduate engineering learning. CR Categories: H.1.m [Models and Principles]: Miscellaneous… CONTINUE READING