My current research topic is Visualising Spatial Flow Data. Many processes that take place in our world are spatial interactions. For example migration, movement of animals or disease, movement of goods or knowledge, commuting behaviors, etc. Such processes generate a huge amount of spatial flow data. The vast amount of data alone does not have an instant positive value to society; however, the potential knowledge extracted from these data sets can make large improvements to conventional procedures in many fields. It is important for analysts (e.g., geographers, anthropologists, financial analysts studying trade) to understand flows between different geographic locations to gain insight and discover patterns in these processes to support decision making.
InfoVis 2016 Best Paper Honorable MentionInteractive Demo
Publication: Y. Yang, T. Dwyer, S. Goodwin, and K. Marriott, “Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation,” IEEE Trans. Visual. Comput. Graphics, vol. 23, no. 1, pp. 411–420, Jan. 2017.
Project funded by Prof. Wray Buntine and Mr. Laurens Skelly.
We would like to thank K. Verbeek. et al for their work and help in implementation.
Original publication: K. Verbeek, K. Buchin, and B. Speckmann, “Flow Map Layout via Spiral Trees,” IEEE Trans. Visual. Comput. Graphics, vol. 17, no. 12, pp. 2536–2544, Dec. 2011.