Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Externalising abstract mathematical models
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
IEEE Transactions on Visualization and Computer Graphics
Direct Manipulation of Parallel Coordinates
IV '00 Proceedings of the International Conference on Information Visualisation
Angular Brushing of Extended Parallel Coordinates
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
The parallel coordinate plot in action: design and use for geographic visualization
Computational Statistics & Data Analysis - Data visualization
Perceptually based brush strokes for nonphotorealistic visualization
ACM Transactions on Graphics (TOG)
Uncovering Clusters in Crowded Parallel Coordinates Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
3-Dimensional Display for Clustered Multi-relational Parallel Coordinates
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Discussion: Interacting with parallel coordinates
Interacting with Computers
Polyline averaging using distance surfaces: A spatial hurricane climatology
Computers & Geosciences
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A highly interactive visual analysis system is presented that is based on an enhanced variant of parallel coordinates - a multivariate information visualization technique. The system combines many variations of previously described visual interaction techniques such as dynamic axis scaling, conjunctive visual queries, statistical indicators, and aerial perspective shading. The system capabilities are demonstrated on a hurricane climate data set. This climate study corroborates the notion that enhanced visual analysis with parallel coordinates provides a deeper understanding when used in conjunction with traditional multiple regression analysis.