Interactive Visual Analysis of Families of Function Graphs

Zoltan Konyha, Kresimir Matkovic, Denis Gracanin, M. Jelovic, Helwig Hauser
Interactive Visual Analysis of Families of Function Graphs
IEEE Transaction on Visualization and Computer Graphics, 12(6):1373-1385, November 2006. [] [pdf]

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Abstract

The analysis and exploration of multidimensional and multivariate data is still one of the most challenging areas in the  field of visualization. In this paper, we describe an approach to visual analysis of an especially challenging set of problems that exhibit a complex internal data structure. We describe the interactive visual exploration and analysis of data that includes several (usually large) families of function graphs fi(x; t). We describe analysis procedures and practical aspects of the interactive visual analysis specic to this type of data (with emphasis on the function graph characteristic of the data). We adopted the well-proven approach of multiple, linked views with advanced interactive brushing to assess the data. Standard views such as histograms, scatterplots, and parallel coordinates are used to jointly visualize data.We support iterative visual analysis by providing means to create complex, composite brushes that span multiple views and that are constructed using different combination schemes. We demonstrate that engineering applications represent a challenging but very applicable area for visual analytics. As a case study, we describe the optimization of a fuel injection systems in Diesel engines of passenger cars.

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BibTeX

@article{konyha_2006_int,
  title =      "Interactive Visual Analysis of Families of Function Graphs",
  author =     "Zoltan Konyha and Kresimir Matkovic and Denis Gracanin and
               M. Jelovic and Helwig Hauser",
  year =       "2006",
  abstract =   "The analysis and exploration of multidimensional and
               multivariate data is still one of the most challenging areas
               in the  field of visualization. In this paper, we describe
               an approach to visual analysis of an especially challenging
               set of problems that exhibit a complex internal data
               structure. We describe the interactive visual exploration
               and analysis of data that includes several (usually large)
               families of function graphs fi(x; t). We describe analysis
               procedures and practical aspects of the interactive visual
               analysis specic to this type of data (with emphasis on the
               function graph characteristic of the data). We adopted the
               well-proven approach of multiple, linked views with advanced
               interactive brushing to assess the data. Standard views such
               as histograms, scatterplots, and parallel coordinates are
               used to jointly visualize data.We support iterative visual
               analysis by providing means to create complex, composite
               brushes that span multiple views and that are constructed
               using different combination schemes. We demonstrate that
               engineering applications represent a challenging but very
               applicable area for visual analytics. As a case study, we
               describe the optimization of a fuel injection systems in
               Diesel engines of passenger cars.",
  month =      nov,
  issn =       "1077-2626 ",
  journal =    "IEEE Transaction on Visualization and Computer Graphics",
  number =     "6",
  volume =     "12",
  pages =      "1373--1385",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/",
}