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作者 Maciejewski, Ross
書名 Data representations, transformations, and statistics for visual reasoning [electronic resource] / Ross Maciejewski
出版項 San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2011
國際標準書號 9781608456260 (electronic bk.)
9781608456253 (pbk.)
國際標準號碼 10.2200/S00357ED1V01Y201105VIS002 doi
book jacket
說明 1 electronic text (viii, 75 p.) : ill., maps, digital file
系列 Synthesis lectures on visualization ; # 2
Synthesis digital library of engineering and computer science
Synthesis lectures on visualization ; # 2
附註 Part of: Synthesis digital library of engineering and computer science
Series from website
Includes bibliographical references (p. 63-74)
1. Datatypes -- Data types -- Nominal data -- Ordinal data -- Interval data -- Ratio data --
2. Color schemes -- Design principles for color schemes -- Univariate color schemes -- Qualitative color scales -- Sequential color scales -- Divergent color scales -- Multivariate color schemes -- Choosing a color scheme --
3. Data preconditioning --
4. Visual representations and analysis -- 4.1. Histograms -- Determining bin widths -- Increasing the dimensionality of a histogram -- 4.2. Kernel density estimation -- 4.3. Multivariate visualization techniques -- Scatterplots and scatterplot matrices -- Parallel coordinate plots -- Parallel sets -- Abstract multivariate visualizations -- 4.4. Multivariate analysis -- Principal component analysis -- K-means clustering -- Multi-dimensional scaling -- Self-organizing maps -- 4.5. Time series visualization -- Line graphs -- Cyclical time -- Calendar view -- Multivariate temporal exploration -- Animation -- 4.6. Temporal modeling and anomaly detection -- Control charts -- Time series modeling -- 4.7. Geographic visualization -- Choropleth maps -- Dasymetric maps -- Isopleth maps -- Class interval selection -- Interactive maps -- Animating maps -- 4.8. Spatial anomaly detection -- Spatial autocorrelation -- Local indicators of spatial association -- AMOEBA clustering -- Spatial scan statistics --
5. Summary -- Bibliography -- Author's biography
Abstract freely available; full-text restricted to subscribers or individual document purchasers
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Mode of access: World Wide Web
System requirements: Adobe Acrobat Reader
Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and areas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics
Also available in print
Morgan-IISLIB
主題 Visual analytics
Information visualization
Visual analytics
Histograms
Scatterplots
Parallel coordinate plots
Multivariate visualization
Power transformation
Time series analysis
Choropleth maps
Clustering
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