2016 IEEE Pacific Visualization Symposium (PacificVis)

Suggested topics include, but are not limited to:

Visualization application areas:

• statistical graphics and mathematics
• financial, security and business visualization
• physical sciences and engineering
• earth, space, and environmental sciences
• geographic/geospatial/ terrain visualization
• molecular, biomedical, bioinformatics and medical visualization
• text, documents and software visualization
• social, ambient and information sciences
• education and everyday visualization
• multimedia (image/video/music) visualization
• any other non-spatial data or spatial data that is visualized with a new spatial mapping

Data focused visualization research:

• high-dimensional data and dimensionality reduction and data compression
• multidimensional multi-field, multi-modal, multi-resolution and multi-variate data
• causality and uncertainty data
• time series, time varying, streaming and flow data
• scalar, vector and tensor fields
• regular and unstructured grids
• point-based data
• large scale data (petabytes, ...)

Technique focused visualization research:

• volume modeling and rendering
• extraction of surfaces
• topology-based and geometry-based techniques
• glyph-based techniques
• integrating spatial and non-spatial data visualization
• machine-learning approaches

Graph and network visualization research:

• design and experimentation of graph drawing algorithms
• techniques, interfaces and interaction methods for graphs, trees, and other relational data
• visualization of graphs and networks in application areas (e.g., social sciences, biology, geography, software engineering, circuit design, business intelligence)
• interfaces and interaction techniques for graph and network visualizations
• benchmarks and experimental analysis for graph visualization systems and user interfaces

Interaction focused visualization research:

• icon- and glyph-based visualization
• focus + context techniques
• animation
• zooming and navigation
• linking + brushing
• coordinated multiple views
• view-dependent visualization
• data labeling, editing and annotation
• collaborative, co-located and distributed visualization
• manipulation and deformation
• visual data mining and visual knowledge discovery

Empirical and comprehension focused visualization research:

• visual design and aesthetics
• illustrative visualization
• cognition and perception issues
• cognitive studies on graph drawing readability and user interaction
• presentation, dissemination and storytelling
• design studies, case studies and focus groups
• task and requirements analysis
• metrics and benchmarks
• evaluations of all types: qualitative, quantitative, laboratory, field, and usability studies
• validation and verification
• perception theory including such factors as color texture, scene, motion perception, perceptual cognition

System focused visualization research:

• novel algorithms and mathematics
• mobile and ubiquitous
• taxonomies and models
• methodologies, discussions and frameworks
• visual design, visualization system and toolkit design
• data warehousing, database visualization and data mining
• collaborative and distributed visualization
• mathematical theories for visualization

Hardware, Display and Interaction Technology:

• large and high-res displays
• stereo displays
• mobile and ubiquitous environments
• immersive and virtual environments
• multimodal input (touch, haptics, voice, etc.)
• hardware acceleration
• GPUs and multi-core architectures
• CPU and GPU clusters
• distributed systems, grid and cloud environments
• volume graphics hardware