VISUALIZATION OF SPATIO-TEMPORAL PATTERNS IN PUBLIC TRANSPORT DATA

In this paper, we discuss geovisualization techniques to explore spatio-temporal patterns formed by people traveling through public transport system (PTS). The Spatio-temporal reasoning by PTS operators/policy makers to extract patterns from public transport system data is studied. The resulting questions are related to basic visual tasks like locate, identify, associate and compare. These visual tasks are incorporated in a set of visual tools. A visual environment is developed based on time geographys space-time cube and multiple dynamically linked views based on above visual tools that offer alternative perspectives on the data and patterns extracted. A preliminary usability test for the visual environment is conducted with the PTS experts and its results are presented