Talks and Poster Presentations (with Proceedings-Entry):

I. Kolesár, S. Bruckner, I. Viola, H. Hauser:
"A Fractional Cartesian Composition Model for Semi-Spatial ComparativeVisualization Design";
Talk: IEEE Visualization, Baltimore (invited); 2016-10-23 - 2016-10-28; in: "proceedings IEEE Visualization", IEEE Transactions on Visualization and Computer Graphics, 1/23 (2017), ISSN: 1077-2626; 851 - 860.

English abstract:
The study of spatial data ensembles leads to substantial visualization challenges in a variety of applications. In this paper, we present a model for comparative visualization that supports the design of according ensemble visualization solutions by partial automation. We focus on applications, where the user is interested in preserving selected spatial data characteristics of the data as much as possible-even when many ensemble members should be jointly studied using comparative visualization. In our model, we separate the design challenge into a minimal set of user-specified parameters and an optimization component for the automatic configuration of the remaining design variables. We provide an illustrated formal description of our model and exemplify our approach in the context of several application examples from different domains in order to demonstrate its generality within the class of comparative visualization problems for spatial data ensembles.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.