Visual analytics is the science of analytical reasoning facilitated by visual interactive interfaces . In our team we develop novel visual analytics frameworks, systems, and techniques that facilitate a range of end users to explore large data sets. Towards that end we follow the typical visual analytics process as shown in Figure 1.
Our particular focus is on the perceptual and cognitive aspects of a user that is engaging with a visual analytics system. We are essentially aiming to optimise the visual interface between humans and data with the aim to facilitate comprehension, reasoning, and informed decision making on complex data (see Figure 2). We take advantage of the fact that effective visualisation amplifies human cognitive capabilities by
While we are developing a broad capability in visual analytics, our current focus is on visual analytics of swarm sensing data manifested in the VizzzBees project. Other themes that we are currently exploring are
 J. J. Thomas and K. A. Cook (Ed.), “Illuminating the Path: The R&D Agenda for Visual Analytics,” National Visualization and Analytics Center, p. 4, 2005.
 Ed. Keim et al., “Mastering the Information Age, Solving Problems with Visual Analytics”, 2010.