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Visualizzazione dell'Informazione 2009/2010, Informatica Umanistica, Università di Pisa

Visualizzazione dell'Informazione 2009/2010, Informatica Umanistica, Università di Pisa

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  • Friendly, M. & Denis, D. J. (2001). Milestones in the history of thematic cartography, statistical graphics, and data visualization. Web document, http://www.math.yorku.ca/SCS/Gallery/milestone/. Accessed: February 23, 2010
  • Map are the fundamental form of visualization because it is connected to the real terrain
  • G-Speak
  • S. S. Stevens, On the theory of scales of measurements, 1946
  • Visual Thinking for Design , Colin Ware, Morgan Kaufman (2008)

Transcript

  • 1. Information Visualization Course Informatica Umanistica Università di Pisa Lecture I – 24 th February 2010 Emanuele Ruffaldi PERCRO - Scuola Superiore S.Anna
  • 2.
    • Term Visualize
    form a mental image of something to make perceptible to the mind
  • 3. Visualization in the Past http://www.math.yorku.ca/SCS/Gallery/milestone/ Oldest Known Map (Museum at Konya, Turkey) c. 6200 BC Oldest World Map by Anaximander of Miletus c. 550BC
  • 4. Visualization Today Evolution of Storage MIT, Real Time Rome Rosling @ TED New York Tube (NYT) RoamBi Enabling Technology Laboratory in the UAB School of Engineering
  • 5. Information Visualization
    • The purpose of
    • visualization is to
    • convey information to
    • people through
    • graphical means
    Pat Hanrahan, Barbara Tverski, et al.
  • 6. Visualization Goals
    • Macro Goals
      • Record
      • Analyze
      • Present
    • Effects
      • Map
      • Abstract
      • Clarify
      • Interact
      • Communicate
      • Discover
  • 7. Clarify http://homepage.ntlworld.com/clivebillson/tube/tube.html
  • 8. Clarify First Clear map of London Tube by Harry Beck in 1931 (Topology Based)
  • 9. Interaction G-Peak by Oblong
  • 10. Information Explosion
    • The Industrial Revolution of Data ( Joseph Hellerstein , UC Berkeley)
  • 11. Challenges
    • Information Explosion
      • Increasing amount of data
      • How to Select?
    • Visual Form
      • Many different ways of representing data
      • Which Visualization?
    • Interactivity
      • Interactivity improves visualization
      • Which Interaction metaphor?
  • 12. Visualization Process Data Acquisition Scraping Visualization Design Evaluation Interaction Data Processing Decision Problem Statement
  • 13. Information Model
    • Entities
      • Single elements with Attributes
    • Relationships
      • Associations between Entities
      • With their Attributes
  • 14. Representation
    • Semantic
    • Arbitrary
    • Conventional
  • 15. Data Types
    • Attribute Quality
      • Nominal (Categorical): Fruits, Colors,…
      • Ordinal (Ordered): Days, Ratings
      • Quantitative
      • Interval : time
      • Ratio
    • Attribute Dimensionality
      • Dimension like 1..2… for vector
    S. S. Stevens, On the theory of scales of measurements, 1946
  • 16. Basic Visual Encoding
    • Representations of Data
      • Position
      • Size
      • Color (shade)
      • Textures
      • Orientation
      • Shape
    • Exercise
      • How we can intuitively map types of data to such Encodings?
    • The Design Space of InfoVis is the selection of the Visual (and Interaction) Metaphors
  • 17. Basic Visual Encoding
  • 18. COURSE STRUCTURE
  • 19. Objective of this Course
    • Provide the principles and the technique for making effective visualizations
  • 20. Structure of the Course
  • 21. Foundation
  • 22.
    • Design principles for Statistics Graphs
    • Varieties of Graphs
    Charts
  • 23. Maps Real and Abstract Maps Exercises with Google Maps e Google Earth
  • 24. Trees, Graphs and Nets
    • Foundation of complex visualization
    • Used for Social Networking analysis
    • Basics of Graph Theory
    • Layout and Display
    • Exercises on the Web
    Flow Graph Tree Map
  • 25. Information Landscapes 3D Tool for Visualization
  • 26. Text Analysis Application of principles to text corpora Exercises on known large corpora as Shakespeare, Homerus …
  • 27. Patent Analysis
    • Case Study on use of Visualization for patent data
    • Graphs and Maps based
    • Citation Analysis
  • 28. Lectures
    • Lecture Types
      • Theoretical
      • Practical
      • Exercises
      • Project Discussion
    • Relevant Scientific Papers
  • 29. Textbook
    • Textbook
      • Information Visualization Perception for Design (2 nd ), Colin Ware (2004) Morgan Kauffmann
      • This first lecture is covered in Chapter 1
    • Interesting Books
      • Envisioning Information, Edward Tufte
  • 30. Practice
    • Web Visualization
      • HTML + JavaScript (Low)
      • Processing.js
    • Maps
      • Google Map e Google Earth
    • High Level Tools
      • Mondrian (Java Based)
    • 3D Visualization
      • Information Landscape
      • WebGL
  • 31. Web Visualization http://manyeyes.alphaworks.ibm.com/manyeyes/ http://processingjs.org/ http://thejit.org/
  • 32. Requirements of the Course
    • Passion about Information and Visualization
    • Web Concepts and Tools
    • Basics of Programming
    • Data Concepts
  • 33. Exam
    • Project developed during the Course
    • Integrated with one or two questions
  • 34. Contact Information
    • Emanuele Ruffaldi
      • Email [email_address]
      • Address
        • PERCRO Scuola Superiore S.Anna, Via Martiri 11
    • Schedule
      • Mer 16.15-17.45
      • Ven 14.00-16.00
      • Class: FIB-I Aula I - Polo didattico via Buonarroti
    • Website http://www.percro.org/corsi/infovis10/
  • 35. These slides are subject to the License Creative Commons Attribution-Noncommercial-Share Alike 2.5 Italy