Interactive Visual Analysis of Families of Function Graphs
IEEE Transactions on Visualization and Computer Graphics
Trajectory-based visual analysis of large financial time series data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
SIMVIS: interactive visual analysis of large and time-dependent 3D simulation data
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Fractal map: fractal-based 2D expansion method for multi-scale high-dimensional data visualization
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
I3D '11 Symposium on Interactive 3D Graphics and Games
Critical design and realization aspects of glyph-based 3D data visualization
Proceedings of the 25th Spring Conference on Computer Graphics
Technical Section: Transfer function combinations
Computers and Graphics
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Hybrid parallelization for multi-view visualization of time-dependent simulation data
EG PGV'09 Proceedings of the 9th Eurographics conference on Parallel Graphics and Visualization
Navigation and exploration of interconnected pathways
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
A fractal-based 2D expansion method for multi-scale volume data visualization
Journal of Visualization
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Scatterplots in 2D and 3D are very useful tools, but also suffer from a number of problems. Overplotting hides the true number of points that are displayed, and showing point clouds in 3D is problematic both in terms of perception and interaction. We propose a combination of 2D and 3D scatterplots, together with some extensions to overcome these problems. By linking 2D and 3D views, it is possible to interact in 2D and get feedback in 3D. That feedback is also enhanced by depth cues (color and point size) such that the user gets a better depth impression. Histograms in 2D and 3D show additional information about point densities and additional context can be displayed. An example application demonstrates the usefulness of the technique.