Introduction to Data Visualization:
Vis '97 Tutorial

Dr. Georges Grinstein
The MITRE Corporation and Univ. of Mass., Lowell
ggg@mail11.mitre.org

Dr. Matthew O. Ward
WPI
matt@cs.wpi.edu

Image from IBM Visualization Data Explorer

• Goals of this Tutorial
  • Purpose of Data Visualization
  • Classification of Visualization Techniques
  • Visualization Components
  • Visualization Tasks
  • Visualization Interactions
  • Basic Visualization Terminology
• Structure and Representation of Data
  • Examples
• Some Issues of Human Perception
  • Human Perception and Information Theory (Source: Miller)
  • Absolute Judgement of 1-D Stimuli
  • Absolute Judgement of Multidimensional Stimuli
  • Measurement versus Detection (Source: Cleveland)
  • The Role of Focus and Expectation
  • Expanding Capabilities
  • Relationship to Immediate Memory
  • The Role of Recoding
  • Summary of Perceptual Experiments
  • Implications in Visualization
• Classification of Display Techniques
  • Techniques for Graphical Data Presentation
  • Demos and Videos
    • Line Graph
    • Scatterplots
    • 2-D Isosurfaces
    • 3-D Isosurfaces
    • Rubber Sheet
    • Volume Visualization
    • Scalar Glyphs
    • Vector Glyphs
    • Star Glyphs
    • Parallel Coordinates
    • Dimensional Stacking
    • Ribbons with Twists Based on Vorticity
    • Streaklines Using 3 Time Frames
    • Combining Slicing and Isosurface
    • Other Visualization Techniques
• Sonification
  • The Ear
  • Sonification - Problems
  • Using Sound for Data Presentation
  • Research in Using Sound in Data Representation
  • Mapping Data to Pitch
  • Pitch Scales and Lookup Tables
  • Brushing
  • SoundRaster
  • Key Research Issues
  • Human Engineering Compendium
• Interactive Data Exploration
  • Visualization Selection
  • Effect of Display Resolution
  • Visualization Operations (queries)
  • Articulating Interactions
  • Large Dataset and Database Visualizations
  • Demos and Videos
• Designing Effective Visualizations
  • Examples of Good and Bad Visualizations
• Visualization Systems
  • AVS
  • NetMap
  • MATLAB and Mathematica
  • XSauci
  • Xgobi
  • S-Plus
  • S+SpatialStats
  • S+Datablade
  • WWW Visualization Interfaces
  • IBM Visualization Data Explorer
    • Function Categories and Sample Modules
    • Display Techniques Supported
    • Structure of Data
    • Data Transformations
    • Interactions
    • Sample Network
    • Generic Module Interface
    • Interactors
    • Axes and Labels
    • Strategies for Use
    • Application - Sea Level Monitoring
    • Application - Storm Cloud
    • Application - Imide Potential
  • XmdvTool
    • Display Techniques Supported
    • Structure of Data
    • Interactions
    • Brush Tool Interface
    • Brush Specification Tools
    • Data Driven Brushing
    • Strategies for Use
    • Application - Car Statistics
    • Application - Remote Sensing
    • Application - Financial Data
• Experimental Systems
  • Software Visualization
    • What to Visualize
    • SeeSoft - Eick et. al.
  • Multimedia
    • Aspects of Multimedia
    • Applications of Multimedia
    • Important Research Issues
  • Databases and Visualization
    • Databases
    • Metadata for Scientific and Technical Data Management
    • Query Languages
    • Distributed Databases
    • Databases and Visualization: Future Prospects
    • National Information Infrastructure
    • Using Maps
    • Implications for Information Navigation and Data Exploration
    • Databases and Visualization - Kernel Requirements
  • Knowledge-based Tools
    • Knowledge Sources
    • KDD and DM and AI
  • Virtual Reality Media
  • Virtual Environments for Visualization
  • Supercomputing Visualizations
• Summary
  • What We Have Learned
  • Where to Proceed for Further Learning
  • Sample of Companies Making Commercial Visualization Technologies
  • Resources
    • Books
    • Journals
    • Conferences
    • WWW Sites
• About this document ...