The International Conference on Information Visualization Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners in Information Visualization. The conference will be structured along several topics related to Information Visualization.
We welcome papers describing original work in any of the topics listed below. Papers describing advanced prototypes, systems, tools and techniques as well as general survey papers indicating future directions are also encouraged. Paper acceptance will be based on quality, relevance to the conference theme and originality. The conference program will include both oral and poster presentations.
Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged. Companies interested in presenting their products/methodologies or researchers interested in lecturing a tutorial are invited to contact the conference secretariat.
Conference Areas

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. ABSTRACT DATA VISUALIZATION
2. GENERAL DATA VISUALIZATION
3. SPATIAL DATA VISUALIZATION


AREA 1: ABSTRACT DATA VISUALIZATION

Information Visualization
Visual Data Analysis and Knowledge Discovery
Visual Representation and Interaction
Data Management and Knowledge Representation
Visual Analytical Reasoning
Mathematical Foundations of Interactive Visual Analysis
Display and Interaction Technology
Hardware-Assisted Visualization
Databases and visualization, Visual Data Mining
Graph Visualization
Interface and Interaction Techniques for Visualization
Internet, Web and Security Visualization
Software Visualization
High-dimensional Data and Dimensionality Reduction
Text and Document Visualization

AREA 2: GENERAL DATA VISUALIZATION

Knowledge-assisted Visualization
Interpretation and Evaluation Methods
Interactive Visual Interfaces for Visualization
Large Data Visualization
Perception and Cognition in Visualization
Time-dependent Visualization
Usability Studies and Visualization
Visualization Applications
Visualization Taxonomies and Models
Visualization Algorithms and Technologies
Visualization Tools and Systems for Simulation and Modeling
Glyph-based Visualization
Collaborative Visualization
Coordinated and Multiple Views

AREA 3: SPATIAL DATA VISUALIZATION

Biomedical Visualization and Applications
Flow Visualization
GPU-based Visualization
Image/Video Summarization and Visualization
Scientific Visualization
Multi-field Visualization
Parallel Visualization
Uncertainty Visualization
Vector/Tensor Field Visualization
Virtual Environments and Data Visualization
Volume Visualization