Gennady L. Andrienko

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1 Department of Computer and Information Science, University of Konstanz, 78457 Konstanz, Germany, keim@informatik.uni-konstanz.de 2 Fraunhofer Institute for Intelligent Analysis and Information Systems(IAIS), Schloss Birlinghoven 53754 Sankt Augustin, Germany, gennady.andrienko@iais.fraunhofer.de 3 Université Paris-Sud, INRIA, Bât 490, F-91405 Orsay Cedex,(More)
Descartes (formerly called IRIS) is a software system designed to support visual exploration of spatially referenced data, e.g. demographic, economical, or cultural information about geographical objects or locations such as countries, districts, or cities. Descartes o€ ers two integrated services: automated presentation of data on maps, and facilities to(More)
With widespread availability of low cost GPS devices, it is becoming possible to record data about the movement of people and objects at a large scale. While these data hide important knowledge for the optimization of location and mobility oriented infrastructures and services, by themselves they lack the necessary semantic embedding which would make fully(More)
G. ANDRIENKO{, N. ANDRIENKO*{, P. JANKOWSKI{, D. KEIM§, M.-J. KRAAK", A. MACEACHREN** and S. WROBEL{ {Fraunhofer Institute Intelligent Analysis and Information Systems, Schloss Birlinghoven, D-53754 Sankt Augustin, Germany {Department of Geography, San Diego State University, 5500 Campanile Drive, MC8255, San Diego, CA 92182-8255, USA §Computer Science(More)
Current software tools for visualization of spatio-temporal data, on the one hand, utilize the opportunities provided by modern computer technologies, on the other hand, incorporate the legacy from the conventional cartography. We have considered existing visualization-based techniques for exploratory analysis of spatio-temporal data from two perspectives:(More)
In recent years, spatio-temporal and moving objects databases have gained considerable interest, due to the diffusion of mobile devices (e.g., mobile phones, RFID devices and GPS devices) and of new applications, where the discovery of consumable, concise, and applicable knowledge is the key step. Clearly, in these applications privacy is a concern, since(More)
Visual analytics aims to provide technology that combines the strengths of human and electronic data processing. Visualization is the medium through which humans and computers cooperate. Such a synergistic cooperation is required for analyzing spatiotemporal data and solving spatio-temporal problems. In the modern society, spatiotemporal analysis is not(More)
Data about movements of various objects are collected in growing amounts by means of current tracking technologies. Traditional approaches to visualization and interactive exploration of movement data cannot cope with data of such sizes. In this research paper we investigate the ways of using aggregation for visual analysis of movement data. We define(More)
Movement data (trajectories of moving agents) are hard to visualize: numerous intersections and overlapping between trajectories make the display heavily cluttered and illegible. It is necessary to use appropriate data abstraction methods. We suggest a method for spatial generalization and aggregation of movement data, which transforms trajectories into(More)