“…Visual analytics of spatiotemporal changes can bring new insights into the consequences of human decisions in many areas. We may identify several application domains, starting from smart mobility policy [6,34,35], through the monitoring of machinery and sensor data in agriculture [36,37], the monitoring of population movement and distribution [38,39], and noise mapping [40], to spatiotemporal visualizations of crime scenes [41,42]. The main focus of visual analytics is, therefore, placed on interactivity through utilizing the concept of multiple coordinated views [43,44] and dynamic queries to emphasize the impact of changes in various phenomena.…”