Affiliation:
1. Analytical Solutions Division, SAS Institute Inc., Cary, NC, USA
Abstract
This paper proposes a conceptual model called compound brushing for modeling the brushing techniques used in dynamic data visualization. In this approach, brushing techniques are modeled as higraphs with five types of basic entities: data, selection, device, renderer, and transformation. Using this model, a flexible visual programming tool is designed not only to configure and control various common types of brushing techniques currently used in dynamic data visualization but also to investigate new brushing techniques.
Subject
Computer Vision and Pattern Recognition
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