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Visual Parameter Space Analysis: A Conceptual Framework

Michael Sedlmair, Christoph Heinzl, Stefan Bruckner, Harald Piringer, Torsten Möller

JOURNAL ARTICLE: IEEE Transactions on Visualization and Computer Graphics (to appear), vol. 20, no. 12, 2014. Accepted for publication, to be presented at IEEE InfoVis 2014.

Abstract

Various case studies in different application domains have shown the great potential of visual parameter space analysis to support validating and using simulation models. In order to guide and systematize research endeavors in this area, we provide a conceptual framework for visual parameter space analysis problems. The framework is based on our own experience and a structured analysis of the visualization literature. It contains three major components: (1) a data flow model that helps to abstractly describe visual parameter space analysis problems independent of their application domain; (2) a set of four navigation strategies of how parameter space analysis can be supported by visualization tools; and (3) a characterization of six analysis tasks. Based on our framework, we analyze and classify the current body of literature, and identify three open research gaps in visual parameter space analysis. The framework and its discussion are meant to support visualization designers and researchers in characterizing parameter space analysis problems and to guide their design and evaluation processes.

Published

IEEE Transactions on Visualization and Computer Graphics (to appear)

  • Volume: 20
  • Number: 12
  • Event: IEEE VIS 2014
  • Location: Paris, France
  • Date: December 2014
  • Note: Accepted for publication, to be presented at IEEE InfoVis 2014

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BibTeX

@ARTICLE{Sedlmair-2014-VPS,
  author = {Michael Sedlmair and Christoph Heinzl and Stefan Bruckner and Harald
	Piringer and Torsten M{\"o}ller},
  title = {Visual Parameter Space Analysis: A Conceptual Framework},
  journal = {IEEE Transactions on Visualization and Computer Graphics (to appear)},
  year = {2014},
  volume = {20},
  number = {12},
  month = dec,
  note = {Accepted for publication, to be presented at IEEE InfoVis 2014},
  abstract = {Various case studies in different application domains have shown the
	great potential of visual parameter space analysis to support validating
	and using simulation models. In order to guide and systematize research
	endeavors in this area, we provide a conceptual framework for visual
	parameter space analysis problems. The framework is based on our
	own experience and a structured analysis of the visualization literature.
	It contains three major components: (1) a data flow model that helps
	to abstractly describe visual parameter space analysis problems independent
	of their application domain; (2) a set of four navigation strategies
	of how parameter space analysis can be supported by visualization
	tools; and (3) a characterization of six analysis tasks. Based on
	our framework, we analyze and classify the current body of literature,
	and identify three open research gaps in visual parameter space analysis.
	The framework and its discussion are meant to support visualization
	designers and researchers in characterizing parameter space analysis
	problems and to guide their design and evaluation processes.},
  event = {IEEE VIS 2014},
  keywords = {parameter space analysis, input-output model, simulation, task characterization,
	literature analysis},
  location = {Paris, France},
}






 Last Modified: Stefan Bruckner, 2014-09-22