The Grammar of Graphics

Voorkant
Springer Science & Business Media, 15 jul. 2005 - 690 pagina's
2 Recensies

This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics.

From reviews of the first edition:

"Destined to become a landmark in statistical graphics, this book provides a formal description of graphics, particularly static graphics, playing much the same role for graphics as probability theory played for statistics."

Journal of the American Statistical Association

"Wilkinsonís careful scholarship shows around every corner. This is a tour de force of the highest order."

Psychometrika

"All geography and map libraries should add this book to their collections; the serious scholar of quantitative data graphics will place this book on the same shelf with those by Edward Tufte, and volumes by Cleveland, Bertin, Monmonier, MacEachren, among others, and continue the unending task of proselytizing for the best in statistical data presentation by example and through scholarship like that of Leland Wilkinson."

Cartographic Perspectives

"In summary, this is certainly a remarkable book and a new ambitious step for the development and application of statistical graphics."

Computational Statistics and Data Analysis

About the author:

Leland Wilkinson is Senior VP, SPSS Inc. and Adjunct Professor of Statistics at Northwestern University. He is also affiliated with the Computer Science department at The University of Illinois at Chicago. He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson joined SPSS in a 1994 acquisition and now works on research and development of visual analytics and statistics. He is a Fellow of the ASA. In addition to journal articles and the original SYSTAT computer program and manuals, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT.

  

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Geselecteerde pagina's

Inhoudsopgave

Introduction
1
11 Graphics Versus Charts
2
12 ObjectOriented Design
3
13 An ObjectOriented Graphics System
6
14 An Example
8
15 What This Book Is Not
13
16 Background
18
Part 1
21
107 Summary
316
108 Sequel
318
Facets
319
112 Algebra of Facets
320
113 Examples
327
114 Sequel
345
Guides
347
121 Scale Guides
348

How To Make a Pie
23
21 Definitions
25
22 Recipe
31
23 Notation
38
24 Sequel
40
Data
41
31 Data Functions
42
32 Empirical Data
44
33 Abstract Data
48
34 Metadata
51
36 Sequel
54
Variables
55
41 Transforms
56
42 Examples
57
43 Sequel
61
Algebra
63
52 Examples
73
53 Other Algebras
80
54 Sequel
83
Scales
85
62 Scale Transformations
93
63 Sequel
109
Statistics
111
71 Methods
113
72 Examples
123
73 Summary
152
74 Sequel
154
Geometry
155
81 Examples
158
82 Summary
177
83 Sequel
178
Coordinates
179
91 Transformations of the Plane
180
92 Projections onto the Plane
227
93 3D Coordinate Systems
244
94 HighDimensional Spaces
248
95 Tools and Coordinates
253
96 Sequel
254
Aesthetics
255
101 Continuous Scales
256
102 Categorical Scales
261
103 Dimensions
265
104 Realism
270
105 Aesthetic Attributes
274
106 Examples
293
122 Annotation Guides
352
123 Sequel
356
Semantics
357
Space
359
131 Mathematical Space
363
132 Psychological Space
378
133 Graphing Space
381
134 Sequel
405
Time
407
141 Mathematics of Time
408
142 Psychology of Time
424
143 Graphing Time
427
144 Sequel
449
Uncertainty
451
752 Psychology of Uncertainty
466
153 Graphing Uncertainty
468
154 Sequel
488
Analysis
489
161 Variance Analysis
490
162 Shape Analysis
496
163 Graph Drawing
500
164 Sequence Analysis
505
165 Pattern Analysis
517
166 Sequel
533
Control
535
772 Exploring
552
173 Sequel
577
Automation
579
181 Graphics Production Language
580
182 Visualization Markup Language
589
183 Summary
608
184 Sequel
609
Reader
611
191 The Problem
612
192 A Psychological Reader Model
614
193 A Graphics Grammar Reader Model
617
194 Research
622
Coda
623
202 Monarch Butterfly Migration
629
203 Conclusion
632
204 Sequel
634
References
635
Author Index
673
Subject Index
681
Copyright

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