Visual Analysis of
Movement and Event Data
ViAMoD: Progress in positioning technologies has enabled the collection of huge amounts of data about movement of diverse types of objects in various domains, which has raised a demand for scalable methods for analyzing such data. In response, a number of methods and tools have appeared recently in data mining, geographic visualization, information visualization, and visual analytics. However, most of these approaches deal with movement data alone without taking into account the spatiotemporal context of the movement, which includes the properties of different places and different times and various spatial, temporal, and spatiotemporal objects affecting and/or being affected by the movement. This project aims at developing theoretical foundations and novel scalable methods for analyzing movement in context with the use of explicit context information available in the form of datasets as well as implicit context information available in the mind of human analyst.