000 | 03357nam a22005175i 4500 | ||
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001 | 978-3-031-02599-0 | ||
003 | DE-He213 | ||
005 | 20240730164009.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2011 sz | s |||| 0|eng d | ||
020 |
_a9783031025990 _9978-3-031-02599-0 |
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024 | 7 |
_a10.1007/978-3-031-02599-0 _2doi |
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050 | 4 | _aQA76.9.I52 | |
072 | 7 |
_aUYZF _2bicssc |
|
072 | 7 |
_aMAT013000 _2bisacsh |
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072 | 7 |
_aUYZF _2thema |
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082 | 0 | 4 |
_a001.4226 _223 |
100 | 1 |
_aMaciejewski, Ross. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981573 |
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245 | 1 | 0 |
_aData Representations, Transformations, and Statistics for Visual Reasoning _h[electronic resource] / _cby Ross Maciejewski. |
250 | _a1st ed. 2011. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2011. |
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300 |
_aIX, 75 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Visualization, _x2159-5178 |
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505 | 0 | _aData Types -- Color Schemes -- Data Preconditioning -- Visual Representations and Analysis -- Summary. | |
520 | _aAnalytical 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. Table of Contents: Data Types / Color Schemes / Data Preconditioning / Visual Representations and Analysis / Summary. | ||
650 | 0 |
_aInformation visualization. _914255 |
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650 | 0 |
_aData structures (Computer science). _98188 |
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650 | 0 |
_aInformation theory. _914256 |
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650 | 0 |
_aData mining. _93907 |
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650 | 1 | 4 |
_aData and Information Visualization. _933848 |
650 | 2 | 4 |
_aData Structures and Information Theory. _931923 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _981574 |
710 | 2 |
_aSpringerLink (Online service) _981575 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031014710 |
776 | 0 | 8 |
_iPrinted edition: _z9783031037276 |
830 | 0 |
_aSynthesis Lectures on Visualization, _x2159-5178 _981576 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02599-0 |
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