000 03357nam a22005175i 4500
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
024 7 _a10.1007/978-3-031-02599-0
_2doi
050 4 _aQA76.9.I52
072 7 _aUYZF
_2bicssc
072 7 _aMAT013000
_2bisacsh
072 7 _aUYZF
_2thema
082 0 4 _a001.4226
_223
100 1 _aMaciejewski, Ross.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981573
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.
300 _aIX, 75 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Visualization,
_x2159-5178
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
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aData mining.
_93907
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
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
912 _aZDB-2-SXSC
942 _cEBK
999 _c85201
_d85201