A Comparison of Visualizations for Identifying Correlation over Space and Time
Vanessa Pe\~na-Araya, Emmanuel Pietriga, Anastasia Bezerianos

TL;DR
This paper compares different geo-temporal visualization techniques to determine how effectively they communicate correlations between two variables evolving over space and time, providing guidelines for better visualization design.
Contribution
It introduces a comparative study of three visualization strategies for geo-temporal data and offers design guidelines based on empirical findings.
Findings
Effectiveness varies with task complexity and focus.
Juxtaposition of all locations for a given time is effective for certain tasks.
Encoding attributes with map features enhances pattern recognition.
Abstract
Observing the relationship between two or more variables over space and time is essential in many domains. For instance, looking, for different countries, at the evolution of both the life expectancy at birth and the fertility rate will give an overview of their demographics. The choice of visual representation for such multivariate data is key to enabling analysts to extract patterns and trends. Prior work has compared geo-temporal visualization techniques for a single thematic variable that evolves over space and time, or for two variables at a specific point in time. But how effective visualization techniques are at communicating correlation between two variables that evolve over space and time remains to be investigated. We report on a study comparing three techniques that are representative of different strategies to visualize geo-temporal multivariate data: either juxtaposing all…
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