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Information Visualization. Chapter 1 - Continued. Reference Model. Visualization: Mapping from data to visual form. DATA. VISUAL FORM. Raw Data. Data Tables. Visual Structures. Views. View Transformations. Data Transformations. Visual Mappings. Human Interaction. Data Tables.
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Information Visualization Chapter 1 - Continued
Reference Model Visualization: Mapping from data to visual form DATA VISUAL FORM Raw Data Data Tables Visual Structures Views View Transformations Data Transformations Visual Mappings Human Interaction
Data Tables • Relational descriptions of data extended to include metadata Analogy to database: Variable -> attribute; Case -> tuple or record
Data Tables (2) • Variable Types • N = Nominal • Unordered set • O = Ordinal • Ordered set • Q = Quantitative • Numeric range • Metadata • Structure
Data Transformations • Values Derived Values • Structure Derived Structure • Values Derived Structure • Structure Derived Values • Examples?
Visual Structures • Data Tables are mapped to Visual Structures • Expressive, effective • Perception…and the human eye…
Visual Structures (2) • Spatial substrates • Marks • Graphical properties
Spatial Substrate • Space is the container unto which other parts of Visual Structure are poured. • Composition • Alignment • Folding • Recursion • Overloading
Marks • Points • Lines • Areas • Volumes • Graphs and Trees – to show relations or links among objects
Retinal Properties • Type of graphical property • Position/Size • Gray Scale • Orientation • Color • Texture • Shape
Other Graphical Properties • Crispness • Resolution • Transparency • Arrangement • Color: value, hue, saturation • Table 1.22 • Finally, temporal encoding for visual structures
View Transformations • Interactively modify and augment Visual Structures • Location Probes • Viewpoint Controls • Zoom, pan, clip • Overview an detail • Distortions • To perceive larger Visual Structure via distortion
Human Interaction and Transformation • Direct Manipulation • Controlling Mappings
Conclusion • Reference model approximates the basic steps for visualizing information • Steps are an ongoing process with many iterations • Goal of information visualization: develop effective mappings to increase ability to think/to improve cognition