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Topology-Based Methods in Visualization II (Paperback, Softcover reprint of the original 1st ed. 2009)
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Topology-Based Methods in Visualization II (Paperback, Softcover reprint of the original 1st ed. 2009)
Series: Mathematics and Visualization
Expected to ship within 18 - 22 working days
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Visualization research aims to provide insight into large,
complicated data sets and the phenomena behind them. While there
are di?erent methods of reaching this goal, topological methods
stand out for their solid mathem- ical foundation, which guides the
algorithmic analysis and its presentation. Topology-based methods
in visualization have been around since the beg- ning of
visualization as a scienti?c discipline, but they initially played
only a minor role. In recent years,interest in
topology-basedvisualization has grown
andsigni?cantinnovationhasledto
newconceptsandsuccessfulapplications. The latest trends adapt basic
topological concepts to precisely express user interests in
topological properties of the data. This book is the outcome of the
second workshop on Topological Methods in Visualization, which was
held March 4-6, 2007 in Kloster Nimbschen near
Leipzig,Germany.Theworkshopbroughttogethermorethan40international
researchers to present and discuss the state of the art and new
trends in the ?eld of topology-based visualization. Two inspiring
invited talks by George Haller, MIT, and Nelson Max, LLNL, were
accompanied by 14 presentations by participants and two panel
discussions on current and future trends in visualization research.
This book contains thirteen research papers that have been
peer-reviewed in a two-stage review process. In the ?rst phase,
submitted papers where peer-reviewed by the international program
committee. After the workshop accepted papers went through a
revision and a second review process taking into account comments
from the ?rst round and discussions at the workshop.
Abouthalfthepapersconcerntopology-basedanalysisandvisualizationof
?uid?owsimulations;twopapersconcernmoregeneraltopologicalalgorithms,
while the remaining papers discuss topology-based visualization
methods in application areas like biology, medical imaging and
electromagnetism.
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