Abstract
In this chapter, we present visualization and analysis methods that can support movement analysis tasks focusing on spatial events (Fig. 6.1). The appropriate form of movement data is spatial event data. From spatial event data describing elementary events, composite spatial events can be generated, in particular, spatio-temporal clusters of spatial events. We present an approach to finding spatio-temporal clusters in very large sets of spatial events that do not fit in RAM.
We suggest two methods for visualization of spatially co-located spatial events that do not involve computational aggregation. Growth ring maps represent clusters of events by placing pixels representing individual events in a radial layout around cluster centres. The pixels can be coloured according to the absolute temporal positions of the events or their relative positions within temporal cycles. Flower diagrams represent clusters of events by compositions of circle sectors radiating from a common centre. The angular position of a sector represents the position of the respective event in a temporal cycle and the length (radius) the event duration. Overlapping of several sectors shows event density.
Spatial events may have textual characteristics. Composite events may be characterized by text aggregates, that is, by frequent words and combinations occurring in the texts of the smaller events the composite events comprise. To facilitate interactive exploration of text aggregates by means of spatial and temporal filtering, we represent each frequent word or combination by a text event having the same spatial and temporal positions as the composite event.
We also discuss how spatial, temporal, and spatio-temporal relations among spatial events and between spatial events and other objects (particularly, trajectories of movers) can be investigated using spatial, temporal, and spatio-temporal displays, computation of spatial and temporal distances, and interactive filtering.
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Andrienko, G., Andrienko, N., Bak, P., Keim, D., Wrobel, S. (2013). Visual Analytics Focusing on Spatial Events. In: Visual Analytics of Movement. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37583-5_6
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DOI: https://doi.org/10.1007/978-3-642-37583-5_6
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