What do trees have in common with visual analytics? Nothing, if the truth be told. Yet Dr. Tatiana von Landesberger uses them to illustrate her postdoctoral thesis on visual data comparison. An extensive variety of data are examined in such comparisons, revealing a great deal of information about correlations which had not been available before now.
Data comparison is one of the core tasks of exploratory data analysis. Algorithmic and visual data analysis methods are combined to compare and represent data effectively. Algorithmic data analysis automatically detects similarities and differences in data. Visualization allows the user to interact with such data and apply their expertise to the comparison. It is also used to display the results of the comparison.
However, until now, there have been problems in comparing large and complex data. In her thesis, Dr. von Landesberger presents new approaches to visual comparison of such data. Her thesis introduces a new conceptual framework for visual data comparison, comprising the entire visual comparison process – from the reason for the comparison through to the visual display of the results. These components are combined in an interactive process.
Dr. Tatiana von Landesberger is Manager of the Visual Search and Analysis research group in the Interactive Graphics Systems Group at the TU Darmstadt (Technical University of Darmstadt).