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Handbook of Data Visualization
Chun-houh Chen
Wolfgang Härdle
Antony Unwin
Editors
Handbook of
Data Visualization
With Figures and Tables
123
Editors
Dr. Chun-houh Chen
Institute of Statistical Science
Academia Sinica
Academia Road, Section
Taipei
Taiwan
cchen@stat.sinica.edu.tw
Professor Wolfgang Härdle
CASE – Center for Applied Statistics
and Economics
School of Business and Economics
Humboldt-Universität zu Berlin
Spandauer Straße
Berlin
Germany
haerdle@wiwi.hu-berlin.de
Professor Antony Unwin
Mathematics Institute
University of Augsburg
Augsburg
Germany
unwin@math.uni-augsburg.de
ISBN ----
DOI ./----
e-ISBN ----
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© Springer-Verlag Berlin Heidelberg
is work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,
reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication
or parts thereof is permitted only under the provisions of the German Copyright Law of September ,
, in its current version, and permission for use must always be obtained from Springer. Violations are
liable for prosecution under the German Copyright Law.
e use of general descriptive names, registered names, trademarks, etc. in this publication does not imply,
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Typesetting and Production: LE-T
E
X Jelonek, Schmidt & Vöckler GbR, Leipzig, Germany
Cover: deblik, Berlin, Germany
Printed on acid-free paper
springer.com
Table of Contents
I. Data Visualization
I.1 Introduction
Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle ..........................3
II. Principles
II.1 A Brief History of Data Visualization
Michael Friendly ..........................................................15
II.2 Good Graphics?
Antony Unwin ............................................................57
II.3 Static Graphics
Paul Murrell ..............................................................79
II.4 Data Visualization Through Their Graph Representations
George Michailidis .......................................................103
II.5 Graph-theoretic Graphics
Leland Wilkinson ........................................................121
II.6 High-dimensional Data Visualization
Martin eus ............................................................151
II.7 Multivariate Data Glyphs: Principles and Practice
Matthew O. Ward ........................................................179
II.8 Linked Views for Visual Exploration
Adalbert Wilhelm ........................................................199
II.9 Linked Data Views
Graham Wills ...........................................................217
II.10 Visualizing Trees and Forests
Simon Urbanek ..........................................................243
VI Table of Contents
III. Methodologies
III.1 Interactive Linked Micromap Plots for the Display
of Geographically Referenced Statistical Data
Jürgen Symanzik, Daniel B. Carr...........................................267
III.2 Grand Tours, Projection Pursuit Guided Tours, and Manual Controls
Dianne Cook, Andreas Buja, Eun-Kyung Lee, Hadley Wickham ................295
III.3 Multidimensional Scaling
MichaelA.A.Cox,TrevorF.Cox...........................................315
III.4 Huge Multidimensional Data Visualization: Back to the Virtue
of Principal Coordinates and Dendrograms in the New Computer Age
Francesco Palumbo, Domenico Vistocco, Alain Morineau ......................349
III.5 Multivariate Visualization by Density Estimation
Michael C. Minnotte, Stephan R. Sain, David W. Scott ........................389
III.6 Structured Sets of Graphs
Richard M. Heiberger, Burt Holland ........................................415
III.7 Regression by Parts:
Fi tting Visually Interpretable Models with GUIDE
Wei-Yin Loh ............................................................447
III.8 Structural Adaptive Smoothing
by Propagation–Separation Methods
Jörg Polzehl, Vladimir Spokoiny ............................................471
III.9 Smoothing Techniques for Visualisation
Adrian W. Bowman ......................................................493
III.10 Data Visualization via Kernel Machines
Yuan-chin Ivan Chang, Yuh-Jye Lee, Hsing-Kuo Pao, Mei-Hsien Lee,
Su-Yun Huang ...........................................................539
III.11 Visualizing Cluster Analysis and Finite Mixture Models
Friedrich Leisch..........................................................561
III.12 Visualizing Contingency Tables
David Meyer, Achim Zeileis, Kurt Hornik ...................................589
III.13 Mosaic Plots and Their Variants
Heike Hofmann ..........................................................617
III.14 Parallel Coordinates: Visualization, Exploration
and Classication of High-Dimensional Data
Alfred Inselberg ..........................................................643
III.15 Matrix Visualization
Han-Ming Wu, ShengLi Tzeng, Chun-Houh Chen ............................681
III.16 Visualization in Bayesian D ata Analysis
Jouni Kerman, Andrew Gelman, Tian Zheng, Yuejing Ding ....................709
III.17 Programming Statistical Data Visualization in the Java Language
Junji Nakano, Yoshikazu Yamamoto, Keisuke Honda .........................725
III.18 Web-Based Statistical Graphics using XML Technologies
Yoshiro Yamamoto, Masaya Iizuka, Tomokazu Fujino ........................757
剩余953页未读,继续阅读
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