Rectangular cartograms: construction & animation
SCG '05 Proceedings of the twenty-first annual symposium on Computational geometry
Interactive Exploration of Data Traffic with Hierarchical Network Maps
IEEE Transactions on Visualization and Computer Graphics
Optimal BSPs and rectilinear cartograms
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement
IEEE Transactions on Visualization and Computer Graphics
Computational Geometry: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
Topological Landscapes: A Terrain Metaphor for Scientific Data
IEEE Transactions on Visualization and Computer Graphics
Rectangular cartograms: the game
Proceedings of the twenty-fifth annual symposium on Computational geometry
Carto-SOM: cartogram creation using self-organizing maps
International Journal of Geographical Information Science
Cartograms, Self-Organizing Maps, and Magnification Control
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
ViCA: a voronoi interface for visualizing collaborative annotations
CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
Proceedings of the International Conference on Advanced Visual Interfaces
A personal photograph browser for life log analysis based on location, time, and person
Proceedings of the 2011 ACM Symposium on Applied Computing
Orthogonal cartograms with few corners per face
WADS'11 Proceedings of the 12th international conference on Algorithms and data structures
Adjacency-preserving spatial treemaps
WADS'11 Proceedings of the 12th international conference on Algorithms and data structures
On rectilinear duals for vertex-weighted plane graphs
GD'05 Proceedings of the 13th international conference on Graph Drawing
Proportional contact representations of planar graphs
GD'11 Proceedings of the 19th international conference on Graph Drawing
Linear-time algorithms for hole-free rectilinear proportional contact graph representations
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
Proportions in categorical and geographic data: visualizing the results of political elections
Proceedings of the International Working Conference on Advanced Visual Interfaces
Computing cartograms with optimal complexity
Proceedings of the twenty-eighth annual symposium on Computational geometry
Mail explorer - spatial and temporal exploration of electronic mail
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Orthogonal cartograms with at most 12 corners per face
Computational Geometry: Theory and Applications
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In many application domains, data is collected and referenced by its geo-spatial location. Nowadays, different kinds of maps are used to emphasize the spatial distribution of one or more geo-spatial attributes. The nature of geo-spatial statistical data is the highly non-uniform distribution in the real world data sets. This has several impacts on the resulting map visualizations. Classical area maps tend to highlight patterns in large areas, which may, however, be of low importance. Cartographers and geographers used cartograms or value-by-area maps to address this problem long before computers were available. Although many automatic techniques have been developed, most of the value-by-area cartograms are generated manually via human interaction. In this paper, we propose a novel visualization technique for geo-spatial data sets called RecMap. Our technique approximates a rectangular partition of the (rectangular) display area into a number of map regions preserving important geo-spatial constraints. It is a fully automatic technique with explicit user control over all exploration constraints within the exploration process. Experiments show that our technique produces visualizations of geo-spatial data sets, which enhance the discovery of global and local correlations, and demonstrate its performance in a variety of applications.