Full Paper
PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as information visualization, scientific visualization, graph and network visualization, visual analytics, and specific applications such as (but not limited to) security, software, and biological visualization. Authors are invited to submit original and unpublished research and application papers in all areas of visualization. We encourage papers in any new, novel, and exciting research area that pertains to visualization.
All submitted papers will go through a two-stage review process to guarantee the publication of high-quality papers. All papers accepted by IEEE Pacific Visualization 2020 will be published by IEEE and will be also included in the IEEE Digital Library. Selected papers will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG).

Important Dates
Abstract due: Sep. 27, 2019
Full paper due: Oct. 4, 2019
Reviews due: Nov. 15, 2019
1st cycle notification: Nov. 29, 2019
Revision due: Dec. 20, 2019
2st cycle notification: Jan. 13, 2020
Camera ready paper due: Jan. 23, 2020
All deadlines are due at 9:00 pm Pacific Time (PDT/PST).
Topics
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