Zusammenfassung
Visual Analytics hat das Ziel, leistungsfähige Werkzeuge für die Analyse und Interpretation von Daten bereitzustellen. Die Werkzeuge sollen die Nutzer dabei unterstützen, Daten besser zu verstehen und neue Erkenntnisse aus den Daten zu gewinnen. Visual Analytics Werkzeuge verwenden Methoden der interaktiven Visualisierung und der automatisierten Datenanalyse. Sie nutzen damit die Fähigkeit des Menschen, intuitiv und schnell visuelle Informationen zu erfassen, sowie das Potential des Computers, komplexe Datenanalysen durchzuführen und interaktive Visualisierung zu ermöglichen. Das Forschungsfeld GeoVisual Analytics untersucht, wie die allgemeinen Konzepte von Visual Analytics für die Analyse und Interpretation raumzeitlicher Daten genutzt werden können.
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Dransch, D., Sips, M., Unger, A. (2019). GeoVisual Analytics. In: Sester, M. (eds) Geoinformatik. Springer Reference Naturwissenschaften . Springer Spektrum, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47096-1_60
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