The visual display of quantitative information
The visual display of quantitative information
Envisioning information
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
A self-organizing semantic map for information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Spatial tessellations: concepts and applications of Voronoi diagrams
Spatial tessellations: concepts and applications of Voronoi diagrams
Designing visual interfaces: communication oriented techniques
Designing visual interfaces: communication oriented techniques
Self-organizing maps
Focus+context views of World-Wide Web nodes
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Internet browsing and searching: user evaluations of category map and concept space techniques
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Mapping Cyberspace
Loglinear and multidimensional scaling models of digital library navigation
International Journal of Human-Computer Studies
On Geometry and Transformation in Map-Like Information Visualization
Visual Interfaces to Digital Libraries [JCDL 2002 Workshop]
Visualizing the non-visual: spatial analysis and interaction with information from text documents
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
From Metaphor to Method: Cartographic Perspectives on Information Visualization
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
The InfoSky visual explorer: exploiting hierarchical structure and document similarities
Information Visualization
Geobrowsing: creative thinking and knowledge discovery using geographic visualization
Information Visualization
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
Spatialization of web sites using a weighted frequency model of navigation data
Journal of the American Society for Information Science and Technology
Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Verifying the proximity and size hypothesis for self-organizing maps
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
A cartographic approach to visualizing conference abstracts
IEEE Computer Graphics and Applications
How to visualize the k-root name server (demo)
GD'11 Proceedings of the 19th international conference on Graph Drawing
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In this paper, we present and evaluate a Voronoi method for partitioning continuous information spaces. We define the formal characteristics of the problem and discuss several well-known partitioning methods and approaches. We submit that although they all partially solve the problem, they all have shortcomings. As an alternative, we offer an approach based on an adaptive version of the multiplicatively weighted Voronoi diagram. The diagram is 'adaptive' because it is computed backwards; that is, the generators' weights are treated as dependent rather than independent variables. We successfully test this adaptive solution using both ideal-typical (artificial) and empirical data. Since the resultant visualizations are meant to be used by human subjects, we then discuss the results of a usability experiment, positioning the adaptive solution against a commonly used rectangular solution and the classic nonweighted Voronoi solution. The results indicate that in terms of usability, both the rectangular and the adaptive Voronoi solution outperform the standard Voronoi solution. In addition, although subjects are better able to gage rectangular area relationships, only the adaptive Voronoi solution satisfies all geometric constraints of weight-proportional partitioning.