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Beskrivning
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. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics.
Ross Maciejewski received his PhD in 2009 from Purdue University for his thesis "Exploring Multivariate Data through the Application of Visual Analytics." Currently, he is a visiting assistant professor at Purdue University working as a member of the visual analytics for command, control, and interoperability environments Department of Homeland Security Center of Excellence. His research interests include visual analytics, illustrative visualization, volume rendering, non-photorealistic rendering and geovisualization.
Innehållsförteckning
Data Types.- Color Schemes.- Data Preconditioning.- Visual Representations and Analysis.- Summary.