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Introduction to Visualization

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Dictionary (Merriam-Webster Online Dictionary) Wikipedia. What is Visualization? NSF (1987) ... Weather forecast, medical data. Info viz online. treemaps. Social vizu ... – PowerPoint PPT presentation

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Title: Introduction to Visualization


1
Introduction to Visualization
Day 1
Raphael Grasset
2
Topics
  • Visualization Terminology
  • Rationale for Visualization
  • Visualization Pipeline
  • Examples of Visualization

3
What is Visualization?
  • Dictionary (Merriam-Webster Online Dictionary)
  • Wikipedia

4
What is Visualization?
  • NSF (1987)
  • Visualization is a method of computing. It
    transforms the symbolic into the geometric,
    enabling researchers to observe their simulation
    and computations. Visualization offers a method
    to see the unseen.

5
Visualization Principle
  • From Data to Visual Representation

Visualization Convey Information through VISUAL
representation to explore, analyze, discover,
explain sparse/dense, complex, multidimensional
DATA
6
Visualization Keywords
Saliency
Data
Perception
Visualization
Structure
Visual
Transformation
Representation
Illustration
Encoding
7
Example
  • Bar chart, graph, map, 2d image science

8
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9
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10
Examples
  • Put more examples here big pictures and video
  • Weather forecast, medical data
  • Info viz online

11
  • treemaps

12
  • Social vizu

13
Motivation for Visualization
  • Find the number of Es in the following text

TYUKSAWHZWESCGHEKVXAISXBLSEJUIDVRTHOXEWPX
14
Motivation for Visualization
  • Find the number of Es in the following text

EEEE AA II 0 TYUKSWHZWSCGHKVXSXBLJSUDVRTHXWPX
15
Motivation for Visualization
  • Find the number of Es in the following text

TYUKSAWHZWESCGHEKVXAISXBLSEJUIDVRTHOXEWPX
16
Motivation for Visualization
  • Find the number of Es in the following text

TYUKSAWHZWESCGHEKVXAISXBLSEJUIDVRTHOXEWPX
17
Motivation for Visualization
  • Find the number of E

5
4
3
2
1
o
I
E
A
18
Motivation for Visualization
  • Human Poor at numerical data analysis
  • Transfer from Numerical Analysis to Visual
    Analysis
  • Harness Power of Human Visual System

19
Function of Visualization
  • Support reasoning (process, calculate, reason)
  • For analysing, interpreting the data
  • Convey information (share, persuade, collaborate,
    emphasize)
  • Communicating between individuals and groups
  • Present, Disseminate Information, Results
  • Archive record
  • Visually memorize through photography, drawings,
    etc.

20
Rationale To Understand Visualization
  • Scientific Process

Information
Observations
Interpretation
21
Rationale To Understand Visualization
  • Computer and Computer graphics

digital information
digital representation
measurements
Transform (Visualization)
interpretation
22
Rationale To Understand Visualization
  • More Data, More Information
  • More Complex, Large Volume of Data

digital representation
digital information
simulation
digital representation
measurement
digital information
digital representation
measurement
transform
interpretation
digital Information
digital Representation
23
Different type of visualization
  • Scientific Visualization (SciViz)
  • Measured Data
  • Simulated Data
  • Example weather, CFD
  • Information Visualization (InfoViz)
  • Abstract Data
  • Example population, files on your PC

24
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28
http//www.visual-literacy.org/periodic_table/peri
odic_table.html
29
Other Terminology
  • Data visualization
  • Scientific Information Visualization
  • Visual Data Analysis
  • Efficient Visual Representation of Data for
    Visual Analysis
  • Visual Analytics
  • Reasoning Aspect
  • Cognition Aspect

National Visualization and Analytic Center
30
Visual Analytics
  • Semiology of Graphics Jacques Bertin
  • Graphicslanguage
  • Basic elements marks,
  • retinal variables
  • Visual Elements
  • ?Best Data type

31
Different type of visualization
  • Categorization by Fields
  • Medical visualization
  • Flow visualization
  • GIS visualization
  • Software Visualization
  • Architectural visualization
  • Chemistry visualization
  • ..etc.

Different Field Different Data AND Different
Techniques
32
Is This Visualization?
  • Digital Animation conveying
  • Visual photorealism- aesthetic
  • Purpose? Communicate Emotion?

33
A Brief History of Visualization
  • 6200 BC
  • Konya Town Map

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
34
A Brief History of Visualization
  • 105-150
  • Invention of Paper Ptolemy World Map

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
35
A Brief History of Visualization
  • 1453-1500
  • Guttenberg Arnovalley (Da Vinci)

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
36
A Brief History of Visualization
  • 1500- 1600
  • Projection Techniques, Maps (Mercator, Ortelius,
    etc..)

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
37
A Brief History of Visualization
  • 1600-1850
  • Printed map, weather map contour techniques,
    pie, bar charts first photographical technique

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
38
A Brief History of Visualization
  • 1850-1974
  • Motion, color photography, cinematographe,
    stereograme, psychometrics, computer
    visualization, semiology

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
39
A Brief History of Visualization
  • 1974-Present
  • More visualization techniques, 3D, interactivity

from http//www.math.yorku.ca/SCS/Gallery/milesto
ne/
40
Visualization and Fields
  • Multi-disciplinary

Art
Computer Graphics
Digital Imaging
Cognitive
Visualization
Algorithmic
Perception
Parallel Computing
Electronic
41
Applications
  • Science Chemistry

42
Applications
  • Science Physics

43
Applications
  • Science Astronomy

44
Applications
  • Medical

45
Applications
  • Engineering (CAD, Fluids Dynamics)

46
Applications
  • GeoScience, Geography, GIS

47
Applications
  • Architecture

48
Visualization Model
  • Visualization pipeline (Data and Process)
  • Data Oriented Process

49
Visualization Model
  • Visualization pipeline

50
Visualization Model
  • Visualization pipeline human in the loop

51
Visualization pipeline
52
Visualization Research Field
  • Visualization emerged with faster computers and
    better graphics.
  • Need for Processing Large Amount of Data
  • 1990 First Conference (Eurographics Viz, IEEE
    Viz)
  • 1995 First Journal (Transaction on Visualization
    and Computer Graphics)

53
Summary
  • Visualization Data, Visual Encoding,
    Transformation, User Interaction
  • Using Visual Representation
  • Applications of Visualization
  • In Practice? ?Visualization Software, Tools,
    Libraries
  • ?Lab this Afternoon

54
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