Decal-Maps: Real-Time Layering of Decals on Surfaces for Multivariate Visualization

Area of Science:

• Computer Graphics
• Information Visualization
• Data Science

Background:

• Multivariate data visualization presents challenges in effectively representing numerous attributes simultaneously.
• Existing methods often struggle with scalability and interactivity when visualizing complex datasets on arbitrary surfaces.

Purpose of the Study:

• To introduce a novel technique using decals for multivariate visualization design.
• To enable interactive placement and layering of visual representations (decals) on arbitrary surfaces.
• To facilitate the creative design process for complex data visualizations.

Main Methods:

• Developed the concept of 'decal-maps' where visual elements (decals) represent data attributes.
• Proposed a local parametrization technique based on texture mapping for interactive decal placement.
• Extended layering concepts for co-visualization of multiple attributes on surfaces.

Main Results:

• Demonstrated interactive placement of numerous decals on arbitrary surfaces.
• Enabled co-visualization of multiple data attributes through layering decal-maps and color-maps.
• Showcased the technique's applicability across various visualization contexts.

Conclusions:

• Decal-maps offer a flexible and interactive approach to multivariate visualization.
• The proposed method enhances the design and communication of complex data.
• This technique supports creativity in developing novel data representations.