Multifield Visualization - Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization - page 98

Part II
Multifield Visualization
During the Dagstuhl 2011 Seminar on Scientific Visualization, members of the
break-out group on Multifield Visualization worked extraordinarily hard in
planning for this Part of the topic. They were deeply immersed in evaluating
several proposed definitions of the term ''multifield'', while cheers of a volleyball
match crept into the meeting room. They showed no sign of stopping their
discussions in the dining room, while everyone could taste, in the air, the delicious
aroma of Dagstuhl cakes. The group was determined to produce a series of
chapters that could provide visualization researchers with a coherent, and
hopefully comprehensive, coverage of the subject of multifield visualization.
After the Dagstuhl 2011 event, members of the group worked together through a
Wiki page, and completed the 10 chapters in this Part by February 2012. As the
coordinator of this Part, it has been a great joy for me to work with this group of
colleagues and authors.
The structure of this Part of the topic is organized following a planned flow. It
starts with two introductory chapters. In the first chapter, Definition of a Multifield,
Hotz and Peikert introduce us to the necessity of multifield visualization, and
provide us with a mathematically consistent set of definitions. In the following
chapter,Categorization, Hauser and Carr examine two taxonomic schemes for
categorizing the subject of multifield visualization, and note that this Part is
organized according to the categorization by visualization approach.
The next two chapters examine techniques for visualizing multifield data
directly. In the chapter entitled Fusion of Visual Channels, Chen, Mueller, and
Ynnerman consider methods for combining different visual channels in order to
depict data from different fields. They first provide us with a large list of visual
channels, then examine constructive operators on visual channels and uses of
channel fusion in visualizing time-varying fields, and finally consider the
techniques available for compressing multifield data. In the following chapter,
Glyph-Based Multifield Visualization, Chung, Laramee, Kehrer, and Hauser
provide us with an overview of an alternative technique that encodes multiple data
attributes using glyphs. They survey the state-of-the-art glyph-based visualization,