Journal cover Journal topic
Proceedings of the ICA
Journal topic
Articles | Volume 1
https://doi.org/10.5194/ica-proc-1-44-2018
https://doi.org/10.5194/ica-proc-1-44-2018
16 May 2018
 | 16 May 2018

Visual search of cyclic spatio-temporal events

Jacques Gautier, Paule-Annick Davoine, and Claire Cunty

Keywords: geovisualization, spatio-temporal events, multi-view interfaces, visual analysis, cyclic reappearance, temporal diagrams, dimensional relationships

Abstract. The analysis of spatio-temporal events, and especially of relationships between their different dimensions (space-time-thematic attributes), can be done with geovisualization interfaces. But few geovisualization tools integrate the cyclic dimension of spatio-temporal event series (natural events or social events). Time Coil and Time Wave diagrams represent both the linear time and the cyclic time. By introducing a cyclic temporal scale, these diagrams may highlight the cyclic characteristics of spatio-temporal events. However, the settable cyclic temporal scales are limited to usual durations like days or months. Because of that, these diagrams cannot be used to visualize cyclic events, which reappear with an unusual period, and don't allow to make a visual search of cyclic events. Also, they don't give the possibility to identify the relationships between the cyclic behavior of the events and their spatial features, and more especially to identify localised cyclic events. The lack of possibilities to represent the cyclic time, outside of the temporal diagram of multi-view geovisualization interfaces, limits the analysis of relationships between the cyclic reappearance of events and their other dimensions. In this paper, we propose a method and a geovisualization tool, based on the extension of Time Coil and Time Wave, to provide a visual search of cyclic events, by allowing to set any possible duration to the diagram's cyclic temporal scale. We also propose a symbology approach to push the representation of the cyclic time into the map, in order to improve the analysis of relationships between space and the cyclic behavior of events.

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