@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",
year = "2014",
volume = "20",
number = "12",
pages = "2161--2170",
month = "dec",
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.",
pdf = "pdfs/Sedlmair-2014-VPS.pdf",
images = "images/Sedlmair-2014-VPS.jpg",
thumbnails = "images/Sedlmair-2014-VPS.png",
doi = "10.1109/TVCG.2014.2346321",
event = "IEEE VIS 2014",
keywords = "parameter space analysis, input-output model, simulation, task characterization, literature analysis",
location = "Paris, France"
}