Navigation in Time-Varying Scientific Data

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 book presents a set of techniques (from 3D user interfaces to parallel computing) that together enable an intuitive, interactive, and accurate navigation through time-varying scientific data. Because Virtual Reality (VR) has shown to be an effective tool in the analysis of complex, spatio-temporal phenomena, the focus lies on analysis scenarios within virtual environments.

Autorentext

Marc Wolter, born in 1977, received a diploma in 2004 and a PhDin 2010, both in computer science from RWTH AachenUniversity. His research interests include temporal navigation in scientificvisualization, parallel computing, and psychological experimentsin virtual environments.

Klappentext

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 book presents a set of techniques (from 3D user interfaces to parallel computing) that together enable an intuitive, interactive, and accurate navigation through time-varying scientific data. Because Virtual Reality (VR) has shown to be an effective tool in the analysis of complex, spatio-temporal phenomena, the focus lies on analysis scenarios within virtual environments.