Image Processing Reference
In-Depth Information
Chapter 15
Interactive Visual Exploration
and Analysis
Gunther H. Weber and Helwig Hauser
Abstract
Interactive exploration and analysis of multi-field data utilizes a tight
feedback loop of computation/visualization and user interaction to facilitate knowl-
edge discovery in complex datasets. It does so by providing both overview visu-
alizations, as well as support for focusing on features utilizing iterative drill-down
operations. When exploring multi-field data, interactive exploration and analysis
relies on a combination of the following concepts: (i)
physical views
that show
information in the context of the spatiotemporal domain (domain perspective), (ii)
range views
show relationships between multiple fields (range perspective), and (iii)
selecting/marking data subsets in one view (e.g., regions in a physical view) leading to
a consistent highlighting of this subset in all other views (brushing and linking). Based
on these principles, interactive exploration and analysis supports building complex
feature definitions, e.g., using Boolean operations to combine multiple selections.
Utilizing derived fields, statistical methods, etc., adds a further layer of flexibility to
this approach. Using these concepts, it is also possible to integrate feature detection
methods from the other chapters of this part, as well as application-specific feature
extraction methods into an joint framework. This methodology of interactive visual
data exploration and analysis has proven its potential in a larger number of successful
applications. It has been implemented in a larger number of systems and is already
available for a wide spectrum of different application domains.
(
B
)
Computational Research Division, Lawrence Berkeley National Laboratory,
Berkeley, USA
e-mail: ghweber@lbl.gov
G.H. Weber
Department of Computer Science, University of California, Davis, USA
e-mail: ghweber@ucdavis.edu
H. Hauser
Department of Informatics, University of Bergen, Bergen, Norway
e-mail: helwig.hauser@UiB.no
G.H. Weber
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