  Spatial and temporal interactions are central and fundamental in many
activities in our world. A common problem faced when visualizing this type of
data is how to provide an overview that helps users navigate efficiently.
Traditional approaches use coordinated views or 3D metaphors like the
Space-time cube to tackle this problem. However, they suffer from overplotting
and often lack spatial context, hindering data exploration. More recent
techniques, such as MotionRugs, propose compact temporal summaries based on 1D
projection. While powerful, these techniques do not support the situation for
which the spatial extent of the objects and their intersections is relevant,
such as the analysis of surveillance videos or tracking weather storms. In this
paper, we propose MoReVis, a visual overview of spatiotemporal data that
considers the objects' spatial extent and strives to show spatial interactions
among these objects by displaying spatial intersections. Like previous
techniques, our method involves projecting the spatial coordinates to 1D to
produce compact summaries. However, our solution's core consists of performing
a layout optimization step that sets the size and positions of the visual marks
on the summary to resemble the actual values on the original space. We also
provide multiple interactive mechanisms to make interpreting the results more
straightforward for the user. We perform an extensive experimental evaluation
and usage scenarios. Moreover, we evaluated the usefulness of MoReVis in a
study with 9 participants. The results point out the effectiveness and
suitability of our method in representing different datasets compared to
traditional techniques.
