Topics include:

• Visualization Taxonomies and Models
• Spatial Data in Visualization: visualization of scalar, vector, and tensor fields, multi-field, multi-variate, and multi-dimensional visualization, multi-resolution techniques, visualization of Non-Spatial Data: visualization of graphs and trees, high-dimensional data, dimensionality reduction for visualization, ambient information in visualization, text and document visualization, and the visualization of time series data
• Large Data Visualization: visualization of time-varying data, streams, compression techniques, parallel and distributed visualization, scalability, visualization over networks, visualization hardware and acceleration techniques
• Visualization Techniques: metrical, geometrical, topological, pixel-oriented, point-based, volume-based, icon-/glyph-based, graph-based, feature-based, hierarchical, illustrative, view-dependent, focus+context, statistical, and animated visualization techniques
• Visual Analytics, Visual Data Mining, and Knowledge Discovery: in particular the integration of computational approaches with interactive visualization, visualization for exploration, analysis, and presentation
• Interaction: human-computer interaction for visualization, interaction design, zooming and navigation, linking & brushing, coordinated multiple views, data editing, manipulation, and deformation, guided visualization and interactive visual storytelling
• General Topics: visual design, cognition, perception, and aesthetics, uncertainty, design studies, novel algorithms and mathematics, presentation/production/dissemination, collaborative and distributed visualization, mobile/ubiquitous visualization, visualization systems, problem-solving environments, virtual environments, sonification and haptics, visualization for the masses
• Evaluation and User Studies: task and requirements analysis, metrics and benchmarks, qualitative evaluation, quantitative evaluation, laboratory studies, field studies, usability studies
• Application Areas of Visualization: in the physical sciences, bioinformatics and in life sciences, and in engineering, geographic and earth/space/environmental visualization, information sciences, software and financial visualization, and applications in the humanities, social sciences, and education