PacificVis 2021 : IEEE Pacific Visualization Symposium

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, and Terrain Visualization
• Molecular, Biomedical, Bioinformatics, and Medical Visualization
• Text, Document, and Software Visualization
• Social and Information Sciences
• Education and Everyday Visualization
• Multimedia (Image/Video/Music) Visualization

Data-focused Visualization Research:

• High-dimensional Data, Dimensionality Reduction, and Data Compression
• 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
• Interfaces and Interaction Techniques for Graph and Network Visualizations
• Benchmarks and Experimental Analysis for Graph Visualization Systems

Interaction-focused Visualization Research:

• Icon- and Glyph-based Visualization
• Focus + Context Techniques
• Animation
• Zooming and Navigation
• Brushing + Linking
• 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
• User Studies on Visualization 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

System-focused Visualization Research:

• Novel Algorithms and Mathematics
• 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

Hardware, Display, and Interaction Technology:

• Large and High-resolution 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