Space, Time, and Visual Analytics
Visual analytics aims to combine the strengths of human and computer data processing.Visualization, whereby humans and computers cooperate through graphics, is the meansthrough which this is achieved. Sophisticated synergies are required for analyzingspatio-temporal data and solving spatio-temporal problems.It is necessary to take into account the specifics of the geographic space, time, andspatio-temporal data.

While a wide variety of methods and tools are available, it is still hard to findguidelines for considering a data set systematically from multiple perspectives.To fill this gap, we systematically consider the structure of spatio-temporal data,possible transformations, and demonstrate several workflows of comprehensive analysisof different data sets, paying special attention to the investigation of data properties.We shall show several workflows of analysis of real data sets on human mobility, citytraffic, animal movement, and football.

We finish the talk by outlying directions for future research, including semantic levelanalysis and big data.
Lecturer:
Prof. Natalia Andrienko and Prof. Gennady Andrienko, Fraunhofer IAIS and City University London
Dates:
Do. 14.04.2016, 13:00 c.t., G29-301
Recent news:
19.04.2017

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.

To the overview…