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%0 Thesis
%A Wolter, Marc
%T Navigation in time-varying scientific data
%C Aachen
%I Publikationsserver der RWTH Aachen University
%M RWTH-CONV-113761
%P VI, 167 S. : Ill., graph. Darst.
%D 2010
%Z Aachen, Techn. Hochsch., Diss., 2010
%X The temporal resolution of today's simulated scientific data sets is constantly growing. Simulations spanning thousands of discrete time steps are common these days; simulations with a much higher resolution exist. The growing amount of discrete time steps leads to significant problems, particularly concerning the navigation through such data sets. This thesis presents a set of techniques that together enable an intuitive, interactive, and accurate navigation through time-varying scientific data. A time model that describes different time scales and their relations in scientific visualizations serves as a basis. Novel 3D interaction techniques for search and maneuver navigation tasks are developed and are evaluated in user studies. Based on initial user input, the temporal resolution of time-varying scientific data is adapted by a multi-objective optimization approach, which tries to combine conflicting analysis goals. In order to speed up the computation of time-varying visualizations during navigation, a remote parallel computation system using different user-centered scheduling strategies is presented. The developed approaches are evaluated using multiple large time-varying data sets from medicine, geosciences and flow mechanics. The heterogeneous techniques proposed - applied individually as well as in combination - enable or ease the analysis of large time-varying data in an interactive work process.
%K Virtuelle Realität (SWD)
%K Visualisierung (SWD)
%F PUB:(DE-HGF)11
%9 Dissertation / PhD Thesis
%U https://publications.rwth-aachen.de/record/51472