Jason Thompson 

Linear Path Encoding

The Linear Path Encoding is a visual encoding for transfer graphs which are directed dynamic graphs where the edges are associated with a start and finish time. This is one aspect of my thesis which presents a framework to generate visual encodings like this one but for different domains and tasks.

Visualising Moving Clusters using Cluster Flow Diagrams

Thompson, J. and Torabi, T.

This paper introduced cluster flow diagrams, a clear, concise and aggregated visualisation of a collection of moving clusters. In particular, cluster flow diagrams give a snapshot of all of the formations of moving clusters, the changes within them and their interrelationships with one another. Additionally, the clusters are characterised by their member's spatial movements through two composite visualisations. The diagrams are generated using a four stage method which includes provisions to minimise noise in the data and artifacts from the process. (paper)

An Interactive Region-Based Filter for Moving Objects Datasets: Making Sense of Chaos

Thompson, J., Rahayu, W. and Torabi, T.

This work aims to make moving object data accessible to analysts by way of a simple but powerful visual interface. To this end, we have formally defined a region-based filter that partitions moving object datasets. In practical terms, a filter is constructed, in real-time, by drawing and manipulating regions on a visualisation of a dataset. The partitions are then visualised to identify meaningful subsets of the data. We evaluate our prototype in terms of its ability to provide real-time feedback for varying types and quantities of filter regions. (paper)