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OLS Field Name OLS Field Data
Main Title Handbook of data visualization /
Other Authors
Author Title of a Work
Chen, Chun-houh.
Härdle, Wolfgang.
Unwin, Antony.
Publisher Springer,
Year Published 2008
OCLC Number 76799021
ISBN 9783540330363; 3540330364
Subjects Information visualization. ; Computer graphics. ; Mathematics--Graphic methods--Data processing. ; Electronic data processing. ; Statistik. ; Graphische Darstellung. ; Datenanalyse. ; Visualisierung.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-3-540-33037-0
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ELBM  TK7882.I6H36 2008 AWBERC Library/Cincinnati,OH 10/30/2018
Collation xiii, 936 pages : illustrations ; 25 cm.
Notes
Includes bibliographical references and index.
Contents Notes
I. Data Visualization -- I.1 Introduction -- II. Principles -- II. 1 A Brief History of Data Visualization -- II. 2 Good Graphics? -- II. 3 Static Graphics -- II. 4 Data Visualization Through Their Graph Representations -- II. 5 Graph-theoretic Graphics -- II. 6 High-dimensional Data Visualization -- II. 7Multivariate Data Glyphs: Principles and Practice -- II. 8 Linked Views for Visual Exploration -- II. 9 Linked Data Views -- II. 10 Visualizing Trees and Forests -- III. Methodologies -- III. 1 Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data -- III. 2 Grand Tours, Projection Pursuit Guided Tours, and Manual Controls -- III. 3 Multidimensional scaling -- III. 4 Huge Multidimensional Data Visualization: Back to the Virtue of Principal Coordinates and Dendrograms in the New Computer Age-- III. 5 Multivariate Visualization by Density Estimation -- III. 6 Structured Sets of Graphs -- III. 7 Regression by Parts: Fitting Visually InterpretableModels with GUIDE -- III. 8 Structural Adaptive Smoothing by Propagation-Separation Methods -- III. 9 Smoothing Techniques for Visualisation -- III. 10 Data Visualization via Kernel Machines -- III. 11 Visualizing Cluster Analysis and Finite Mixture Models -- III. 12 Visualizing Contingency Tables -- III. 13 Mosaic Plots and Their Variants -- III. 14 Parallel Coordinates: Visualization, Exploration and Classification of High-Dimensional Data -- III. 15 Matrix Visualization -- III. 16 Visualization in Bayesian Data Analysis -- III. 17 Programming Statistical Data Visualization in the Java Language -- III. 18 Web-Based Statistical Graphics using XML Technologies -- IV. Selected Applications -- IV. 1 Visualization for Genetic Network Reconstruction -- IV. 2 Reconstruction, Visualization and Analysis of Medical Images -- IV. 3 Exploratory Graphics of a Financial Dataset -- IV. 4 Graphical Data Representation in Bankruptcy Analysis. IV. 5 Visualizing Functional Data with an Application to eBay's Online Auctions -- IV. 6 Visualization Tools for Insurance Risk Processes. "This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics."--BOOK JACKET.