Discontinuities in Continuous Scatterplots
The concept of continuous scatterplot (CSP) is a modern visualization technique. The idea is to define a scalar density value based on the map between an n-dimensional spatial domain and an m-dimensional data domain, which describe the CSP space.

Usually the data domain is two-dimensional to visually convey the underlying, density coded, data. In this paper we investigate kinds
of map-based discontinuities, especially for the practical cases n = m = 2 and n = 3 j m = 2, and we depict relations between them
and attributes of the resulting CSP itself. Additionally, we show that discontinuities build critical line structures, and we introduce
algorithms to detect them.

Further, we introduce a discontinuity-based visualization approach ? called contribution map (CM) ? which
establishes a relationship between the CSP?s data domain and the number of connected components in the spatial domain. We show
that CMs enhance the CSP-based linking & brushing interaction. Finally, we apply our approaches to a number of synthetic as well
as real data sets.
Dipl. Ing. Dirk Joachim Lehmann
Fr. 22.10.2010, G29-R335, 13:00 c.t.
Recent news:

Research Seminar Announcement

In the course of the Visual Computing research seminar Dr. Evgeny Gladilin from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben will give a talk with subsequent discussion about the topic Aufgaben der Bildanalyse in quantitativer Pflanzenforschung.

We would like to invite everyone interested to join us. The research seminar will take place in on Friday 21.04.2017, 13:00 c.t. in G29-R335.

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