visualization methods

Post on 29-Nov-2014

8.430 Views

Category:

Education

2 Downloads

Preview:

Click to see full reader

DESCRIPTION

An introduction to visualization methods for Research Perspectives & Practices

TRANSCRIPT

1

Visualization methods

Research Perspectives & Practices 7728

Robert Fitzgerald, PhdFaculty of EducationUniversity of CanberraApril 2007

1

2

Overview

2

2

Overview Introduction to Visualization studies

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

Activity: Periodic Table of Visualization Methods

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

Activity: Periodic Table of Visualization Methods Graphical analysis

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

Activity: Periodic Table of Visualization Methods Graphical analysis Activity: Gallery of Data Visualization

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

Activity: Periodic Table of Visualization Methods Graphical analysis Activity: Gallery of Data Visualization Concept & Mind Mapping

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

Activity: Periodic Table of Visualization Methods Graphical analysis Activity: Gallery of Data Visualization Concept & Mind Mapping Activity: Concept Mapping

2

2

Overview Introduction to Visualization studies Internet and the Visual Web

Visual Thesaurus Tag Clouds Visual Complexity

Approaches to Visualization Data; Information; Concept Metaphor; Strategy & Compound Cognitive Processes; Represented Information

Activity: Periodic Table of Visualization Methods Graphical analysis Activity: Gallery of Data Visualization Concept & Mind Mapping Activity: Concept Mapping Conclusion

2

3

Visualization Studies

3

3

Visualization Studies

An emerging field of study called visualization studies drawing on work in mathematics, management studies, human-computer-interaction and graphic design

3

3

Visualization Studies

An emerging field of study called visualization studies drawing on work in mathematics, management studies, human-computer-interaction and graphic design

3

3

Visualization Studies

An emerging field of study called visualization studies drawing on work in mathematics, management studies, human-computer-interaction and graphic design

“A visualization method is a systematic, rule-based, external, permanent, and graphic representation that depicts information in a way that is conducive to acquiring insights, developing an elaborate understanding, or communicating experiences (Lengler & Eppler, 2007, p1)

3

3

Visualization Studies

An emerging field of study called visualization studies drawing on work in mathematics, management studies, human-computer-interaction and graphic design

“A visualization method is a systematic, rule-based, external, permanent, and graphic representation that depicts information in a way that is conducive to acquiring insights, developing an elaborate understanding, or communicating experiences (Lengler & Eppler, 2007, p1)

3

3

Visualization Studies

An emerging field of study called visualization studies drawing on work in mathematics, management studies, human-computer-interaction and graphic design

“A visualization method is a systematic, rule-based, external, permanent, and graphic representation that depicts information in a way that is conducive to acquiring insights, developing an elaborate understanding, or communicating experiences (Lengler & Eppler, 2007, p1)

Two key people: John Tukey & Edward Tufte

3

4

John Tukey

4

4

John Tukey

John Tukey was an influential statistician who had a large impact over the last 50 years. His fields of interest were wide and varied and he is credited with inventing the word ''software''

4

4

John Tukey

John Tukey was an influential statistician who had a large impact over the last 50 years. His fields of interest were wide and varied and he is credited with inventing the word ''software''

4

4

John Tukey

John Tukey was an influential statistician who had a large impact over the last 50 years. His fields of interest were wide and varied and he is credited with inventing the word ''software''

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.”

4

4

John Tukey

John Tukey was an influential statistician who had a large impact over the last 50 years. His fields of interest were wide and varied and he is credited with inventing the word ''software''

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.”

4

4

John Tukey

John Tukey was an influential statistician who had a large impact over the last 50 years. His fields of interest were wide and varied and he is credited with inventing the word ''software''

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.”

“Numerical quantities focus on expected values, graphical summaries on unexpected values. “

4

5

Bearman, Peter S., James Moody, and Katherine Stovel, Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110 (2004), pp. 44-91

5

6

The internet: A visual web

6

6

The internet: A visual web

Visual Therasus - http://www.visualthesaurus.com/

6

6

The internet: A visual web

Visual Therasus - http://www.visualthesaurus.com/

6

6

The internet: A visual web

Visual Therasus - http://www.visualthesaurus.com/

“The Visual Thesaurus is an interactive dictionary and thesaurus which creates word maps that blossom with meanings and branch to related words. Its innovative display encourages exploration and learning.”

6

7

Tag Cloud

7

7

Tag Cloud

Tag clouds are used for navigation and visualization on Web 2.0 sites that apply user-generated tags to categorize data

7

7

Tag Cloud

Tag clouds are used for navigation and visualization on Web 2.0 sites that apply user-generated tags to categorize data

7

7

Tag Cloud

Tag clouds are used for navigation and visualization on Web 2.0 sites that apply user-generated tags to categorize data

Flickr - http://www.flickr.com/

7

7

Tag Cloud

Tag clouds are used for navigation and visualization on Web 2.0 sites that apply user-generated tags to categorize data

Flickr - http://www.flickr.com/

7

7

Tag Cloud

Tag clouds are used for navigation and visualization on Web 2.0 sites that apply user-generated tags to categorize data

Flickr - http://www.flickr.com/

TagCrowd - http://tagcrowd.com. A popular web application for visualizing word frequencies in the form of a tag cloud. It inputs user-supplied text and creates a tag cloud.

7

8

Visual Complexity

8

8

Visual Complexity

The challenges of representing complex networks

8

8

Visual Complexity

The challenges of representing complex networks

8

8

Visual Complexity

The challenges of representing complex networks

http://www.visualcomplexity.com/

8

8

Visual Complexity

The challenges of representing complex networks

http://www.visualcomplexity.com/

8

8

Visual Complexity

The challenges of representing complex networks

http://www.visualcomplexity.com/

8

9

Four approaches to visualization

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

9

Four approaches to visualization

“Visualization methods can help the user to articulate implicit knowledge (as in a visual metaphor) and to stimulate new thinking (like with a mindmap)”.

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

9

Four approaches to visualization

“Visualization methods can help the user to articulate implicit knowledge (as in a visual metaphor) and to stimulate new thinking (like with a mindmap)”.

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

9

Four approaches to visualization

“Visualization methods can help the user to articulate implicit knowledge (as in a visual metaphor) and to stimulate new thinking (like with a mindmap)”.

1. Data Visualization – e.g. line graphs

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

9

Four approaches to visualization

“Visualization methods can help the user to articulate implicit knowledge (as in a visual metaphor) and to stimulate new thinking (like with a mindmap)”.

1. Data Visualization – e.g. line graphs2. Information Visualization - semantic networks or treemaps

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

9

Four approaches to visualization

“Visualization methods can help the user to articulate implicit knowledge (as in a visual metaphor) and to stimulate new thinking (like with a mindmap)”.

1. Data Visualization – e.g. line graphs2. Information Visualization - semantic networks or treemaps3. Concept Visualization - a concept map or a Gantt chart (i.e. idea or

plan)

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

9

Four approaches to visualization

“Visualization methods can help the user to articulate implicit knowledge (as in a visual metaphor) and to stimulate new thinking (like with a mindmap)”.

1. Data Visualization – e.g. line graphs2. Information Visualization - semantic networks or treemaps3. Concept Visualization - a concept map or a Gantt chart (i.e. idea or

plan)4. Metaphor Visualization - a metro map or story template

Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

9

10

Activity: Periodic Table of Visualization Methods

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

Scroll down to “Periodic Table”

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

Scroll down to “Periodic Table”

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

Scroll down to “Periodic Table”

The full url is:

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

Scroll down to “Periodic Table”

The full url is:

10

10

Activity: Periodic Table of Visualization Methods

Goto http://www.visual-literacy.org/

Navigate to “Maps” (RHS)

Scroll down to “Periodic Table”

The full url is:

http://www.visual-literacy.org/periodic_table/periodic_table.html

10

11

Graphical analysis

11

11

Graphical analysis

Tufte, E.R. (1983). The Visual Display of Quantitative Information. Cheshire: Graphics Press.

11

11

Graphical analysis

Tufte, E.R. (1983). The Visual Display of Quantitative Information. Cheshire: Graphics Press.

11

11

Graphical analysis

Tufte, E.R. (1983). The Visual Display of Quantitative Information. Cheshire: Graphics Press.

Graphs revealing data showing time series data depicting space & time data showing relational data

11

12

Principles of Graphical Excellence

12

12

Principles of Graphical Excellence

“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space” (Tufte, 1983, p51)

12

12

Principles of Graphical Excellence

“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space” (Tufte, 1983, p51)

12

12

Principles of Graphical Excellence

“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space” (Tufte, 1983, p51)

“Graphical excellence is nearly always multivariate and requires telling the truth about the data” (Tufte, 1983, p51)

12

12

Principles of Graphical Excellence

“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space” (Tufte, 1983, p51)

“Graphical excellence is nearly always multivariate and requires telling the truth about the data” (Tufte, 1983, p51)

12

12

Principles of Graphical Excellence

“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space” (Tufte, 1983, p51)

“Graphical excellence is nearly always multivariate and requires telling the truth about the data” (Tufte, 1983, p51)

Examples

12

13

Napoleon's failed Russian campaign of 1812 The French engineer, Charles Minard (1781-1870), illustrated the disastrous result of Napoleon's failed Russian campaign of 1812.

13

14

Leonardo Da Vinci & His Treatise on Painting

14

14

Leonardo Da Vinci & His Treatise on Painting

14

15

The 1854 London Cholera Epidemic

15

15

Dr. John Snow's map of deaths from a cholera outbreak in relation to the locations of public water pumps

The 1854 London Cholera Epidemic

15

15

Dr. John Snow's map of deaths from a cholera outbreak in relation to the locations of public water pumps

The 1854 London Cholera Epidemic

15

15

Dr. John Snow's map of deaths from a cholera outbreak in relation to the locations of public water pumps

Tufte (1983, p. 24) says, "Snow observed that cholera occurred almost entirely among those who lived near (and drank from) the Broad Street water pump. He had the handle of the contaminated pump removed, ending the neighborhood epidemic which had taken more than 500 lives."

The 1854 London Cholera Epidemic

15

16

16

17

Activity: Gallery of Data Visualization

17

17

Activity: Gallery of Data Visualization

Maintained by Michael Friendly Statistical Consulting Service and Psychology Department York University

17

17

Activity: Gallery of Data Visualization

Maintained by Michael Friendly Statistical Consulting Service and Psychology Department York University

Like good writing, good graphical displays of data communicate ideas with clarity, precision, and efficiency.

Like poor writing, bad graphical displays distort or obscure the data, make it harder to understand or compare, or otherwise thwart the communicative effect which the graph should convey.

17

17

Activity: Gallery of Data Visualization

Maintained by Michael Friendly Statistical Consulting Service and Psychology Department York University

Like good writing, good graphical displays of data communicate ideas with clarity, precision, and efficiency.

Like poor writing, bad graphical displays distort or obscure the data, make it harder to understand or compare, or otherwise thwart the communicative effect which the graph should convey.

17

17

Activity: Gallery of Data Visualization

Maintained by Michael Friendly Statistical Consulting Service and Psychology Department York University

Like good writing, good graphical displays of data communicate ideas with clarity, precision, and efficiency.

Like poor writing, bad graphical displays distort or obscure the data, make it harder to understand or compare, or otherwise thwart the communicative effect which the graph should convey.

http://www.math.yorku.ca/SCS/Gallery/intro.html

17

18

Concept Mapping

18

18

Concept Mapping

Concept mapping is a form of structured conceptualization often used by groups to guide evaluation or planning (Trochim, 1989)

18

18

Concept Mapping

Concept mapping is a form of structured conceptualization often used by groups to guide evaluation or planning (Trochim, 1989)

18

18

Concept Mapping

Concept mapping is a form of structured conceptualization often used by groups to guide evaluation or planning (Trochim, 1989)

Trochim, W. (1989). An introduction to concept mapping for planning and evaluation. In W. Trochim (Ed.) A Special Issue of Evaluation and Program Planning, 12, 1-16

18

19

Examples of concept maps

19

20

20

20

20

21

21

21

21

22

Mind Maps

22

22

Mind Maps

A mind map is a diagram used to represent words, ideas, tasks or other items linked to and arranged radially around a central key word or idea. (From Wikipedia)

22

22

Mind Maps

A mind map is a diagram used to represent words, ideas, tasks or other items linked to and arranged radially around a central key word or idea. (From Wikipedia)

22

22

Mind Maps

A mind map is a diagram used to represent words, ideas, tasks or other items linked to and arranged radially around a central key word or idea. (From Wikipedia)

Tony Buzan is considered the originator of mind mapping - http://www.buzanworld.com/

22

23

Examples of mind maps

23

24

24

24

24

25

25

26

26

26

26

27

27

28(From Trochim, 1989)

Steps to effective concept mapping

28

28(From Trochim, 1989)

Steps to effective concept mapping

28

29

Activity: Concept/mind mapping

29

29

Activity: Concept/mind mapping

1. In pairs, prepare a concept map relevant to your area of interest

29

29

Activity: Concept/mind mapping

1. In pairs, prepare a concept map relevant to your area of interest

2. Consider Trochim’s Six Steps

29

29

Activity: Concept/mind mapping

1. In pairs, prepare a concept map relevant to your area of interest

2. Consider Trochim’s Six Steps3. Use the PostIt notes to brainstorm and record your

concepts and/or processes

29

29

Activity: Concept/mind mapping

1. In pairs, prepare a concept map relevant to your area of interest

2. Consider Trochim’s Six Steps3. Use the PostIt notes to brainstorm and record your

concepts and/or processes4. Arrange those notes into a tentative map/schema

29

29

Activity: Concept/mind mapping

1. In pairs, prepare a concept map relevant to your area of interest

2. Consider Trochim’s Six Steps3. Use the PostIt notes to brainstorm and record your

concepts and/or processes4. Arrange those notes into a tentative map/schema5. Use one or more of the templates provided to draw

your map

29

29

Activity: Concept/mind mapping

1. In pairs, prepare a concept map relevant to your area of interest

2. Consider Trochim’s Six Steps3. Use the PostIt notes to brainstorm and record your

concepts and/or processes4. Arrange those notes into a tentative map/schema5. Use one or more of the templates provided to draw

your map6. When finished, exchange your map with another group

and discuss

29

30

Software

30

30

Software

Freemind - http://freemind.sourceforge.net/

30

30

Software

Freemind - http://freemind.sourceforge.net/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

Inspiration - http://inspiration.com/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

Inspiration - http://inspiration.com/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

Inspiration - http://inspiration.com/

IMindMap - http://www.imindmap.com/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

Inspiration - http://inspiration.com/

IMindMap - http://www.imindmap.com/

30

30

Software

Freemind - http://freemind.sourceforge.net/

MindMapper - http://www.mindmapper.com/

Inspiration - http://inspiration.com/

IMindMap - http://www.imindmap.com/

Software list http://en.wikipedia.org/wiki/List_of_Mind_Mapping_software http://www.mind-mapping.org/

30

31

References

31

31

References1. Bearman, P. S., Moody, J. & Stovel, K.(2004).Chains of Affection: The

Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110, pp. 44-91.

31

31

References1. Bearman, P. S., Moody, J. & Stovel, K.(2004).Chains of Affection: The

Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110, pp. 44-91.

2. Friendly, M. (Undated). Gallery of Data Visualization. Statistical Consulting Service and Psychology Department York University. Retrieved 27 February 2007 from http://www.math.yorku.ca/SCS/Gallery/intro.html

31

31

References1. Bearman, P. S., Moody, J. & Stovel, K.(2004).Chains of Affection: The

Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110, pp. 44-91.

2. Friendly, M. (Undated). Gallery of Data Visualization. Statistical Consulting Service and Psychology Department York University. Retrieved 27 February 2007 from http://www.math.yorku.ca/SCS/Gallery/intro.html

3. Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

31

31

References1. Bearman, P. S., Moody, J. & Stovel, K.(2004).Chains of Affection: The

Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110, pp. 44-91.

2. Friendly, M. (Undated). Gallery of Data Visualization. Statistical Consulting Service and Psychology Department York University. Retrieved 27 February 2007 from http://www.math.yorku.ca/SCS/Gallery/intro.html

3. Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

4. Trochim, W. (1989). An introduction to concept mapping for planning and evaluation. In W. Trochim (Ed.) A Special Issue of Evaluation and Program Planning, 12, 1-16. Retrieved 27 February from http://www.socialresearchmethods.net/research/epp1/epp1.htm

31

31

References1. Bearman, P. S., Moody, J. & Stovel, K.(2004).Chains of Affection: The

Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110, pp. 44-91.

2. Friendly, M. (Undated). Gallery of Data Visualization. Statistical Consulting Service and Psychology Department York University. Retrieved 27 February 2007 from http://www.math.yorku.ca/SCS/Gallery/intro.html

3. Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

4. Trochim, W. (1989). An introduction to concept mapping for planning and evaluation. In W. Trochim (Ed.) A Special Issue of Evaluation and Program Planning, 12, 1-16. Retrieved 27 February from http://www.socialresearchmethods.net/research/epp1/epp1.htm

5. Tukey, J. W. (1977). Exploratory data analysis. Addison-Wesley, Reading Massachusetts.

31

31

References1. Bearman, P. S., Moody, J. & Stovel, K.(2004).Chains of Affection: The

Structure of Adolescent Romantic and Sexual Networks, American Journal of Sociology, vol. 110, pp. 44-91.

2. Friendly, M. (Undated). Gallery of Data Visualization. Statistical Consulting Service and Psychology Department York University. Retrieved 27 February 2007 from http://www.math.yorku.ca/SCS/Gallery/intro.html

3. Lengler R., Eppler M. (2007). Towards A Periodic Table of Visualization Methods for Management IASTED Proceedings of the Conference on Graphics and Visualization in Engineering (GVE 2007), Clearwater, Florida, USA.

4. Trochim, W. (1989). An introduction to concept mapping for planning and evaluation. In W. Trochim (Ed.) A Special Issue of Evaluation and Program Planning, 12, 1-16. Retrieved 27 February from http://www.socialresearchmethods.net/research/epp1/epp1.htm

5. Tukey, J. W. (1977). Exploratory data analysis. Addison-Wesley, Reading Massachusetts.

6. Tufte, E. R. (1983). The visual display of quantitative information. Graphics

31

32

Conclusion

32

32

Conclusion

“Design is choice … what is to be sought in designs for the display of information is the clear portrayal of complexity. Not the complication of the simple; rather the task of the designer is to give visual access to the subtle and the difficult-that is, the revelation of the complex.”

32

32

Conclusion

“Design is choice … what is to be sought in designs for the display of information is the clear portrayal of complexity. Not the complication of the simple; rather the task of the designer is to give visual access to the subtle and the difficult-that is, the revelation of the complex.”

(Tufte, 1983, pg 191).

32

top related