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@article\{kehrer-2011-vai,
title = "Interactive Visual Analysis of Heterogeneous Scientific Data
across an Interface",
author = "Johannes Kehrer and Philipp Muigg and Helmut Doleisch and
Helwig Hauser",
year = "2011",
abstract = "In this paper, we present a systematic approach to the
interactive visual exploration and analysis of heterogeneous
scientific data. Based on a setup of coordinated multiple
views (with linking and brushing) and heterogeneous data
which consists of two blocks of scientific data (e.g., 2D
and 3D data), we enable the joint, feature-based
investigation across an interface. The interface specifies
(a) which items in the one part of the data are related to
which items in the other part, and vice versa, (b) how
selections (in terms of feature extraction) are transferred
between the two parts of the data, and (c) how interaction
is realized during the visual analysis. We also propose
strategies for visual analysis across an interface resulting
in interactive and iterative refinement of features
specified in different parts of the data. We demonstrate the
usefulness of our approach in the context of two visual
analysis scenarios with heterogeneous scientific data, i.e.,
a multi-run climate simulation and a complex simulation of
fluid–structure interaction.",
pages = "934--946",
month = jul,
number = "7",
event = "IEEE VisWeek 2011",
issn = "1077-2626",
journal = "IEEE Transaction on Visualization and Computer Graphics",
volume = "17",
location = "Providence, RI",
URL = "http://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/",
}
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