Illumination for computer generated pictures
Communications of the ACM
Evaluating the effectiveness of spatial memory in 2D and 3D physical and virtual environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualization of bibliographic networks with a reshaped landscape metaphor
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Multivariate Saddle Point Detection for Statistical Clustering
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Uncovering Clusters in Crowded Parallel Coordinates Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Enhancing scatterplots with smoothed densities
Bioinformatics
Revealing Structure within Clustered Parallel Coordinates Displays
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Information Visualization: Design for Interaction (2nd Edition)
Information Visualization: Design for Interaction (2nd Edition)
Rainbow Color Map (Still) Considered Harmful
IEEE Computer Graphics and Applications
Spatialization Design: Comparing Points and Landscapes
IEEE Transactions on Visualization and Computer Graphics
Visualizing Incomplete and Partially Ranked Data
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation
IEEE Transactions on Visualization and Computer Graphics
Comparing Dot and Landscape Spatializations for Visual Memory Differences
IEEE Transactions on Visualization and Computer Graphics
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots
IEEE Transactions on Visualization and Computer Graphics
Interactive bivariate mode trees for visual structure analysis
Proceedings of the 27th Spring Conference on Computer Graphics
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Kernel density estimation (KDE) is an established statistical concept for assessing the distributional characteristics of data that also has proven its usefulness for data visualization. In this work, we present several enhancements to such a KDE-based visualization that aim (a) at an improved specificity of the visualization with respect to the communication of quantitative information about the data and its distribution and (b) at an improved integration of such a KDE-based visualization in an interactive visualization setting, where, for example, linking and brushing is easily possible both from and to such a visualization. With our enhancements to KDE-based visualization, we can extend the utilization of this great statistical concept in the context of interactive visualization.