2019 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
• Use of Eye Tracking and Other Biometric Measures
• 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