https://doi.org/10.1140/epjst/e2019-800158-6
Review
Multivariate visualization of particle data
Visualization Research Center (VISUS), University of Stuttgart, Stuttgart, Germany
a email: Liang.Zhou@visus.uni-stuttgart.de
b email: Daniel.Weiskopf@visus.uni-stuttgart.de
Received:
1
October
2018
Received in final form:
2
December
2019
Published online:
8
March
2019
In this review paper, we review methods for interactive particle rendering techniques, multi-view particle visualization systems, multivariate visualization techniques, and methods for correlation visualizations. Visualization is vital for gaining insight into particle data. Multivariate particle data are generated to understand different aspects of the underlying physics. The visualization of multivariate particle data is typically performed in multiple linked view systems (multi-view systems) that render particles of interest that are selected by the user interactively with brushing-and-linking. To this end, the non-spatial aspects of particles are explored with multivariate visualization methods, e.g., scatter plots, scatter plot matrix, parallel coordinates, dimensional reduction and radial plots.
© EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature, 2019
