Visualising movement trajectories – Urska Demsar , The Centre of GeoInformatics

Speaker: Urska Demsar (The Centre of GeoInformatics )

Abstract

Recent developments and ubiquitous use of global positioning devices have revolutionised movement analysis. Scientists are able to collect increasingly larger movement data sets at increasingly smaller spatial and temporal resolutions. These data consist of trajectories in space and time, represented as time series of measured locations for each moving object. In geoinformatics such data are visualised using various methodologies, e.g. simple 2D spaghetti maps, traditional time-geography space-time cubes (where trajectories are shown as 3D polylines through space and time) and attribute-based linked views. In this talk we present an overview of typical trajectory visualisations and then focus on space-time visual aggregations for one particular application area, movement ecology, which tracks animal movement.