Handbook of Data VisualizationChun-houh Chen, Wolfgang Karl Härdle, Antony Unwin Springer Science & Business Media, 18 déc. 2007 - 936 pages Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle 1. 1 Computational Statistics and Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Data Visualization and Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Presentation and Exploratory Graphics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Graphics and Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1. 2 The Chapters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Summary and Overview; Part II. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Summary and Overview; Part III. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Summary and Overview; Part IV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 The Authors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1. 3 Outlook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4 Antony Unwin, Chun-houh Chen, Wolfgang K. Härdle Computational Statistics 1. 1 and Data Visualization Tis book is the third volume of the Handbook of Computational Statistics and c- ers the ?eld of data visualization. In line with the companion volumes, it contains a collection of chapters by experts in the ?eld to present readers with an up-to-date and comprehensive overview of the state of the art. Data visualization is an active area of application and research, and this is a good time to gather together a summary of current knowledge. Graphic displays are ofen very e?ective at communicating information. Tey are also very ofen not e?ective at communicating information. Two important reasons for this state of a?airs are that graphics can be produced with a few clicks of the mouse without any thought and the design of graphics is not taken seriously in many scienti?c textbooks. |
Table des matières
16 | |
18 | |
40 | |
Antony Unwin | 58 |
Paul Murrell | 80 |
Antony Unwin Leland Wilkinson | 100 |
George Michailidis 103 | 102 |
Graphtheoretic Graphics | 122 |
University of WisconsinMadison Department of Statistics | 468 |
by PropagationSeparation Methods | 470 |
Adrian W Bowman | 493 |
Yuanchin Ivan Chang YuhJye Lee HsingKuo Pao MeiHsien Lee | 539 |
Friedrich Leisch | 561 |
David Meyer Achim Zeileis Kurt Hornik 589 | 588 |
Heike Hofmann | 617 |
and Classification of HighDimensional Data | 643 |
Leland Wilkinson | 124 |
Highdimensional | 152 |
Martin Theus | 154 |
Simon Urbanek SPSS Inc Chicago | 177 |
Matthew O Ward | 179 |
Adalbert Wilhelm | 199 |
Graham Wills | 217 |
Simon Urbanek 243 | 242 |
Jürgen Symanzik Daniel B Carr | 268 |
of Geographically Referenced Statistical Data | 269 |
HsingKuo Pao University of Maryland | 292 |
Dianne Cook Andreas Buja EunKyung Lee Hadley Wickham | 295 |
Michael A A Cox Trevor F Cox | 315 |
Andreas Buja Dianne Cook | 334 |
of Principal Coordinates and Dendrograms in the New Computer | 348 |
Minnotte Stephan R Sain David W Scott | 389 |
Heiberger Burt Holland 415 | 414 |
Fitting Visually Interpretable Models with GUIDE | 447 |
Catherine Plaisant Department of Computer Science | 645 |
Part I | 679 |
HanMing Wu ShengLi Tzeng ChunHouh Chen | 681 |
Department of Computer Science bencs umd | 706 |
Jouni Kerman Andrew Gelman Tian Zheng Yuejing Ding | 709 |
Data Visualization | 711 |
Junji Nakano Yoshikazu Yamamoto Keisuke Honda | 725 |
Matthew O Ward Tokushima Bunri University | 758 |
Yoshiro Yamamoto Masaya Iizuka Tomokazu Fujino | 760 |
Grace S Shieh ChinYuan Guo 793 | 791 |
Reconstruction Visualization IV 2 | 814 |
Henry HorngShing Lu | 816 |
Antony Unwin Martin Theus Wolfgang K Härdle | 831 |
Wolfgang K Härdle Rouslan A Moro Dorothea Schäfer | 853 |
to eBays Online Auctions | 873 |
Krzysztof Burnecki Rafał Weron | 899 |
Autres éditions - Tout afficher
Handbook of Data Visualization Chun-Houh Chen,Wolfgang Hardle,Antony Unwin Aucun aperçu disponible - 2016 |
Expressions et termes fréquents
additional algorithm allow analysis appear application approach associated basic categorical chapter cluster color columns complex components Computational conditional constructed contains coordinate correlation corresponding curves dataset defined density described developed dimensions discussed display distance distribution drawing edges effect estimate example exploration Figure function genes given graph graphics groups histogram important indicate interactive interest layout linear linked matrix means measure methods mosaicplots nodes objects observations obtained panel parallel parameters partition patterns plot points position possible present problem produce projection range rates reference region regression represent representation scale scatterplot selected shown shows similar simple smoothing space specified split standard statistical statistical graphics structure techniques tion tree values variables vertices visualization weights