Information Visualization
eBook - PDF

Information Visualization

Perception for Design

  1. 513 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Information Visualization

Perception for Design

About this book

Information Visualization is the major revision of a classic work on information visualization. This book explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications - resulting in visualization of improved clarity, utility, and persuasiveness. This is the first work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations. This unique and essential guide to human visual perception and related cognitive principles will enrich courses on information visualization and empower designers to see their way forward. Its updated review of empirical research and interface design examples will do much to accelerate innovation and adoption of information visualization. New to this edition are a new chapter on visual thinking, new sections on face perception and flow visualization, and a much-expanded chapter on color and color sequences. This book will appeal to interaction designers; graphic designers of all kinds (including web designers); financial analysts; research scientists and engineers; data miners; and managers faced with information-intensive challenges. *First work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations.* Major revision of this classic work, with a new chapter on visual thinking, new sections on face perception and flow visualization, and a much expanded chapter on color and color sequences. *New to this edition is the full color treatment throughout, to better display over 400 illustrations.

Information

Publisher
Morgan Kaufmann
Year
2004
Edition
2
eBook ISBN
9780080478494
Topic
Computer Science
Subtopic
Computer Graphics
Index
Computer Science
•
Visualization 
facilitates 
hypothesis 
formation. 
For 
example, 
the 
visualization 
in 
Figure 
1.1
was 
directly 
responsible 
for 
a 
research 
paper 
concerning 
the 
geological 
signicance 
of 
the
pockmark 
features 
(Gray 
et 
al., 
1997).
This 
rst 
chapter 
has 
the 
general 
goal 
of 
dening 
the 
scope 
of 
a 
science 
of 
visualization 
based
on 
perceptual 
principles. 
Much 
of 
it 
is 
devoted 
to 
outlining 
the 
intellectual 
basis 
of 
the 
endeavor
and 
providing 
an 
overview 
of 
the 
kinds 
of 
experimental 
techniques 
appropriate 
to 
visualization
research. 
In 
the 
latter 
half 
of 
the 
chapter, 
a 
brief 
overview 
of 
human 
visual 
processing 
is 
intro-
duced 
to 
provide 
a 
kind 
of 
road 
map 
to 
the 
more 
detailed 
analysis 
of 
later 
chapters. 
The 
chapter
concludes 
with 
a 
categorization 
of 
data. 
It 
is 
important 
to 
have 
a 
conception 
of 
the 
kinds 
of 
data
we 
may 
wish 
to 
visualize 
so 
that 
we 
can 
talk 
in 
general 
terms 
about 
the 
ways 
in 
which 
whole
classes 
of 
data 
should 
be 
represented.
V
i
s
u
a
l
i
z
a
t
i
o
n
S
t
a
g
e
s
The 
process 
of 
data 
visualization 
includes 
four 
basic 
stages, 
combined 
in 
a 
number 
of 
feedback
loops. 
These 
are 
illustrated 
in 
Figure 
1.2.
4
INFORMATION 
VISUALIZATION: 
PERCEPTION 
FOR 
DESIGN
Figure 
1.2
A 
schematic 
diagram 
of 
the 
visualization 
process.

Table of contents

  1. Cover
  2. Contents
  3. Figure Credits
  4. Foreword
  5. Preface
  6. Chapter 1 Foundation for a Science of Data Visualisation
  7. Chapter 2 The Environment, Optics, Resolution and the Display
  8. Chapter 3 Lightness, Brightness, Contrast and Constancy
  9. Chapter 4 Color
  10. Chapter 5 Visual Attention and Information that Pops Out
  11. Chapter 6 Static and Moving Patterns
  12. Chapter 7 Visual Objects and Data Objects
  13. Chapter 8 Space Perception and the Display of Data in Space
  14. Chapter 9 Images, Worlds and Gestures
  15. Chapter 10 Interacting with Visualizations
  16. Chapter 11 Thinking with Visualizations
  17. Appendix A Changing Primaries
  18. Appendix B CIE Color Measurement System
  19. Appendix C The Perceptual Evaluation of Visualization Techniques and Systems
  20. Bibliography
  21. Subject Index
  22. Author Index
  23. About the Author

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