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Information Visualization Chapter 1 - Continued
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Reference Model Visualization: Mapping from data to visual form Raw DataData Tables Visual Structures Views Data Transformations Visual Mappings View Transformations DATAVISUAL FORM Human Interaction
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Data Tables Relational descriptions of data extended to include metadata CaseiCasejCasek VariablexValueixValuejxValuekx… VariableyValueiyValuejyValueky… …………… Analogy to database: Variable -> attribute; Case -> tuple or record
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Data Tables (2) Variable Types N = Nominal Unordered set O = Ordinal Ordered set Q = Quantitative Numeric range Metadata Structure
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Data Transformations Values Derived Values Structure Derived Structure Values Derived Structure Structure Derived Values Examples?
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Visual Structures Data Tables are mapped to Visual Structures Expressive, effective Perception…and the human eye…
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Visual Structures (2) Spatial substrates Marks Graphical properties
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Spatial Substrate Space is the container unto which other parts of Visual Structure are poured. Composition Alignment Folding Recursion Overloading
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Marks Points Lines Areas Volumes Graphs and Trees – to show relations or links among objects
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Retinal Properties Type of graphical property Position/Size Gray Scale Orientation Color Texture Shape
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Other Graphical Properties Crispness Resolution Transparency Arrangement Color: value, hue, saturation Table 1.22 Finally, temporal encoding for visual structures
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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
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Human Interaction and Transformation Direct Manipulation Controlling Mappings
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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
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