Visual analytics for detecting behaviour patterns in geo-temporal data

Today raw data get more complex and are obtained from different sources. In this paper, the data sources evaluated are GPS tracks of thirty five cards and purchase records of fifty four persons over a time span of two weeks. Additionally, a map and more background information has been provided. Visual Analytics is indispensable for event- and pattern-recognition and the understanding of as well as getting a sense for spatial properties. This paper describes a journey from dealing with geo-temporal data over creating a data foundation for further means to an exploration tool that enables every user to access the data in an interactive, fast and non-exhausting way.