Highlighting space-time patterns: Effective visual encodings for interactive decision-making

Authors:
M. Sips;J. Schneidewind;D. A. Keim
Affiliations:
Stanford University, Stanford, USA;University of Konstanz, 78457 Konstanz, Germany;University of Konstanz, 78457 Konstanz, Germany
Venue:
International Journal of Geographical Information Science - Geovisual Analytics for Spatial Decision Support
Year:
2007

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Abstract

The research reported in this paper focuses on integrating analytical and visual methods in order to explore complex patterns in geo-related multivariate data sets and to understand the changes in patterns over time. The goal is to provide techniques that are able to analyse real-world Data Warehouses, a typical architecture to manage such geo-related multidimensional data sets, in order to support the analyst's decision-making process. Challenges arise because real-world applications usually have to deal with millions of records, with dozens of dimensions, and spatio-temporal context. Therefore, a tight integration of automated analysis and interactive visualizations is needed (as proposed in the context of Visual Analytics). Our approach uses the well-studied capabilities provided by Data Warehouses supporting knowledge discovery and decision-making to analyse spatio-temporal behaviour of pattern in high-dimensional spaces. The topic of the paper is to show possible interplays between automated analysis and geo-spatial visualization.