Visual analytics aims to combine the strengths of human and computer data processing.Visualization, whereby humans and computers cooperate through graphics, is the meansthrough which this is achieved. Sophisticated synergies are required for analyzingspatio-temporal data and solving spatio-temporal problems.It is necessary to take into account the specifics of the geographic space, time, andspatio-temporal data.

While a wide variety of methods and tools are available, it is still hard to findguidelines for considering a data set systematically from multiple perspectives.To fill this gap, we systematically consider the structure of spatio-temporal data,possible transformations, and demonstrate several workflows of comprehensive analysisof different data sets, paying special attention to the investigation of data properties.We shall show several workflows of analysis of real data sets on human mobility, citytraffic, animal movement, and football.

We finish the talk by outlying directions for future research, including semantic levelanalysis and big data.