Colormaps are a vital method for users to gain insights into data in a visualization. With a
good choice of colormaps, users are able to acquire information in the data more effectively …

Over the last decade, ensemble visualization has witnessed a significant development due
to the wide availability of ensemble data, and the increasing visualization needs from a …

In simulation science, computational scientists often study the behavior of their simulations
by repeated solutions with variations in parameters and/or boundary values or initial …

This paper presents the state of the art in the area of topology‐based visualization. It
describes the process and results of an extensive annotation for generating a definition and …

We present a new method to visualize from an ensemble of flow fields the statistical
properties of streamlines passing through a selected location. We use principal component …

We propose a new approach for analyzing the temporal growth of the uncertainty in
ensembles of weather forecasts which are started from perturbed but similar initial …

This paper presents an efficient algorithm for the progressive approximation of Wasserstein
barycenters of persistence diagrams, with applications to the visual analysis of ensemble …

In meteorology, cluster analysis is frequently used to determine representative trends in
ensemble weather predictions in a selected spatio-temporal region, eg, to reduce a set of …

This paper presents a unified computational framework for the estimation of distances,
geodesics and barycenters of merge trees. We extend recent work on the edit distance 104 …

This article presents a computational framework for the Principal Geodesic Analysis of
merge trees (MT-PGA), a novel adaptation of the celebrated Principal Component Analysis …