MAT 259 Visualizing Information MAT 259 Visualizing Information Winter 2006, e-studio, Art 2220 Tues 10:00-12:00, Lecture Thurs 10:00-12:00, Lab George Legrady, legrady@arts.ucsb.edu TA Angus Forbes, angus.forbes@gmail.com Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Course Web Site : http://www.mat.ucsb.edu/~g.legrady/ (click on “courses”, click on “MAT 259”) Winter 2006 1 MAT 259 Visualizing Information Course Goals An introduction to information visualization An overview of varied methodologies Comparison between uses in diverse disciplines Introduction to self-organizing algorithms Project driven course with focus on theory and practice 1) Working with cultural data, 2) Exploration of methodologies, 3) Visualization output to reflect aesthetic consideration Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 2 MAT 259 Visualizing Information Workload Attendance at weekly lectures Active participation Online reports on readings Attendance & reports on visiting lectures Completion of warm-up and final projects Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 3 MAT 259 Visualizing Information Visualization & Cross-Disciplinary Fertilization Domain visualization, an emerging field Multi-disciplinary: Difficult to get the overview of the field Researchers bring their own discipline’s perspective Examination of other disciplines: export and import of methods, ideas, models, or empirical results Creative imagination required to foresee how outside info fits the problem at hand Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 4 MAT 259 Visualizing Information Discipline Driven Methodologies Each discipline has a particular implementation goal LSIS: citation indexing, bibliographic indexing, etc. Scientific Visualization: Map physical phenomena in 2D, or 3D Information Visualization: Analyzing and transforming nonspatial data into visual form Geographic Information Systems (GIS): Cartographic framework, a familiar way to map data Art: Aesthetics, complexity, culturally meaningful results Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 5 MAT 259 Visualizing Information Goal Driven Methodologies Information Visualization: visually map abstract, nonspatial info Information retrieval research in vast data sets Depicting the overall semantic structure of a set of documents Identifying patterns through visualization (DNA) Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 6 MAT 259 Visualizing Information User Meta Model Data Extraction Definition of Units of Analysis Selection of Measures Calculation of similarity between units Ordination: assignments of coordinates to each unit Analysis and Interpretation of output visualization Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 7 MAT 259 Visualizing Information Classification Methods Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Alphabetical: arbitrary learned system Numeric: arbitrary learned system Scalar: (hotel star system) implies value scale Sequential (time): based on units Spatial: “sense of place” Categories: similar things grouped together Associative: (If a to b, then c to d) Metaphoric: A way to establish context Random: Creates complexity (game beginnings) Winter 2006 8 MAT 259 Visualizing Information Visualization Process Multivariate data to be presented in 2D in print or computer screen by applying mathematical dimensionality algorithms to map the data Clustering techniques to group similar data Spatial proximity matrix: similar data/close, difference/distance Large amounts of data presented in limited space: Panning, zooming, filtering to access data Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 9 MAT 259 Visualizing Information What is Visualization? Design of the visual appearance of data objects and their relationships Ability to comprehend large amounts of data Reduction in search time through visualization Provides a better understanding of complex data sets Reveal relationships and properties through visual perception Multiple simultaneous perspectives Effective communication Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 10 MAT 259 Visualizing Information Formal & Aesthetic Functions Visualization Design: years of expertise and diverse skills Visual communication: a language system (function of form, colors, etc) Complex data relationship benefit from storytelling Narrative methods enhance communication Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 11 MAT 259 Visualizing Information Interaction Design Search and browse through data Zoom, filtering, panning, etc. 1) Overview, 2) Zoom-in (filter), 3) Details-on-demand “Browsing explores both the organization or structure of the information space, and its content” (Chen, 1998) Information architects design layered info spaces based on classification systems Media Arts and Technology Graduate Program UC Santa Barbara George Legrady 3 Navigational Paradigms: 1) spatial, 2) semantic, 3) social (using behavior of like-minded people) (Dourish) Winter 2006 12 MAT 259 Visualizing Information Visualization Outcomes Effective exploitation of perceptual principles Helps communication with non-specialists Discover hidden (semantic) patterns, structures Contribute to knowledge development in all disciplines Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 13 MAT 259 Visualizing Information References (Selected) “Visualizing Knowledge Domains”, Borner, Chen, Boyak Journal of Information Visualization Kohonen Self-Organizing Algorithm Visual Complexity Information Aesthetics Edward Tufte Media Arts and Technology Graduate Program UC Santa Barbara George Legrady Winter 2006 14