Hi! I am Dominik Jäckle.

I am a postdoctoral researcher of Interactive Data Analysis and Visualization in the group of Prof. Daniel Keim at the University of Konstanz. My research interests include high-dimensional data analysis, the development of advanced geospatial visualization techniques, and the communication of abstract visualization concepts.


Research and Projects

My work centers around the concept of Interactive Visual Analysis - short Visual Analytics (VA). The overarching goal of VA is to integrate the power of automatic data analysis and interactive methods to enable knowledge generation. Visualization, thereby, plays a key role in presenting information; it is capable of making patterns salient, which may not be identified by looking at statistics only.

In the era of Big Data, we process and present vast amounts of heterogeneous data in constant pursuit of insight. A main challenge in understanding such complex data is to identify, interpret, and navigate relevant discernible areas (patterns) such as clusters, outliers, or correlations. Over the past years, I addressed this challenge and developed novel methods to make sense of large sets of heterogeneous data. Following, you may get an impression of my work. I collected some projects as well as relevant publications.

Pattern Trails

A novel method for identifying and interpreting patterns across multivariate subspaces.

Topology-preserving Off-screen Visualization

Study of off-screen visualization regarding the preservation of the data space and the projection strategy when navigating.

2D Colormaps JS Plugin

Easily encode the color of data points in scatterplots using a 2D colormap. Changes in the data will be easier to understand.

Interpretation of DR

Study of domain experts who are not trained in interpreting advanced statistics in a visual form. See the blog post.

Selected Publications

Copyright © 2017 Dominik Jäckle