The visual display of quantitative information
The visual display of quantitative information
Stochastic simulation of coupled reaction-diffusion processes
Journal of Computational Physics
Feature Extraction and Iconic Visualization
IEEE Transactions on Visualization and Computer Graphics
Tracking and Visualizing Turbulent 3D Features
IEEE Transactions on Visualization and Computer Graphics
Interactive feature specification for focus+context visualization of complex simulation data
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
The Feature Tree: Visualizing Feature Tracking in Distributed AMR Datasets
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
A Particle System for Interactive Visualization of 3D Flows
IEEE Transactions on Visualization and Computer Graphics
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
A Coherent Grid Traversal Approach to Visualizing Particle-Based Simulation Data
IEEE Transactions on Visualization and Computer Graphics
Visual Verification and Analysis of Cluster Detection for Molecular Dynamics
IEEE Transactions on Visualization and Computer Graphics
SIMVIS: interactive visual analysis of large and time-dependent 3D simulation data
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Brushing of Attribute Clouds for the Visualization of Multivariate Data
IEEE Transactions on Visualization and Computer Graphics
Visual support for the understanding of simulation processes
PACIFICVIS '09 Proceedings of the 2009 IEEE Pacific Visualization Symposium
Smart meeting systems: A survey of state-of-the-art and open issues
ACM Computing Surveys (CSUR)
Dynamic visualization of transient data streams
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
IEEE Transactions on Visualization and Computer Graphics
Smart views in smart environments
SG'11 Proceedings of the 11th international conference on Smart graphics
Adapting rule-based model descriptions for simulating in continuous and hybrid space
Proceedings of the 9th International Conference on Computational Methods in Systems Biology
Segmentation and visualization of multivariate features using feature-local distributions
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Feature-Based Visual Sentiment Analysis of Text Document Streams
ACM Transactions on Intelligent Systems and Technology (TIST)
Spatial simulation of actin filament dynamics on structured surfaces
Proceedings of the Winter Simulation Conference
Just-in-time annotation of clusters, outliers, and trends in point-based data visualizations
VAST '12 Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Visual pattern discovery using random projections
VAST '12 Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
IEEE Transactions on Visualization and Computer Graphics
Studying the Role of Lipid Rafts on Protein Receptor Bindings with Cellular Automata
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Editorial: Foreword to the special section on visual analytics
Computers and Graphics
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Spatial simulations of biochemical systems are carried out to gain insight into nature's underlying mechanisms. However, such simulations are usually difficult to set up and they generate large and complex data. In order to help scientists understand their models and the data generated by the simulations, appropriate visual support can be a decisive factor. In this paper, we apply and extend ideas of feature-based visualization to develop a visual analytics approach to analyze data of reaction-diffusion system simulations. Our approach enables simulation experts to interactively specify meaningful features, which are automatically extracted and tracked via analytical means. Events in the features' evolution over time are detected as well. Features and events are visualized via dedicated 3D and 2D views, which in combination portray the interplay of the spatial, temporal, and structural aspects of the simulation data. Our approach is being implemented in the context of a multi-view multi-display visualization environment. We demonstrate how researchers can analyze spatio-temporal distributions of particles in a multi-step activation model with spatial constraints. The visual analytics approach helped to identify interesting behavior of the spatial simulation, which was previously only speculated about, and to examine and discuss competing hypotheses regarding possible reasons for the behavior.