Visual Analytics for Understanding Phenomena in Space and Time

Abstract

There are different kinds of spatio-temporal phenomena, including events that occur at different locations, movements of discrete entities, changes of shapes and sizes of entities, changes of conditions at different places and overall situations across large areas. Spatio-temporal data may specify positions, times, and charac- teristics of spatial events, represent trajectories of moving entities, or consist of spa- tially referenced time series of attribute values. It is possible to transform spatio- temporal data from one of the forms to another and thus adapt them to analysis tasks. After presenting a motivating example of analysis, we discuss the specifics of spatio-temporal data and possible data quality issues that often appear in real data sets and influence analysis processes and results.We introduce and discuss the visual analytics techniques suitable for spatio-temporal data and present another example of an analytical workflow. 10.1