Titlebook: Data Representations, Transformations, and Statistics for Visual Reasoning; Ross Maciejewski Book 2011 Springer Nature Switzerland AG 2011

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Data Representations, Transformations, and Statistics for Visual Reasoning978-3-031-02599-0Series ISSN 2159-516X Series E-ISSN 2159-5178

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Managing Access to Nontimber Forest Productsearch for different components, discover different features, and analyze data in a variety of unique ways. Given these different representations and analyses, one can begin combining these techniques to create even more comprehensive tools and interactive visuals that can further aid the analysis process.

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https://doi.org/10.1007/978-3-319-27158-3e interfaces utilize combinations of statistical graphics, analysis, animation and interaction in order to enhance the cognitive process and provide users with an intuitive means to explore and understand their data. In this way, users can confirm expectations about their data, search for the unexpe

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Julia Suderow,Amaya Angulo Garzaro choice that depends both on the data type, the problem domain and the applied visual representation. However, there is no ‘best’ color scale. Rheingans [115] notes that a choice of an appropriate color scale is influenced by several factors including the characteristics of the data being analyzed,

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Managing Access to Nontimber Forest Productsis also a key factor in determining not only the appropriate visual display parameters but also the underlying statistical analyses. Under the assumptions ofdata normality, choices ofdata grouping and axes scaling for visual analysis have been well studied(e.g., [19, 29, 30, 31, 36, 70, 103, 140]).

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Susan J. Alexander,Roger D. Fight] coined the mantra of “Overview, zoom and filter, details on demand.” This idea of providing overviews of the data and then details on demand has been readily adopted in the visualization community; however, the notion of visual analytics extends this idea. Here, the overview step is now replaced b

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Managing Access to Nontimber Forest Productsearch for different components, discover different features, and analyze data in a variety of unique ways. Given these different representations and analyses, one can begin combining these techniques to create even more comprehensive tools and interactive visuals that can further aid the analysis pr