The big data from cities, if managed and visualized well, can be used by authorities and urban designers and planners to inform urban renewal and development projects. The volume and variety of big data present challenges in presenting analysis of collected data for human to cognitively perceive valuable information, particularly in the dynamic and complex urban contexts.

This project investigates techniques for aggregating, filtering, analysing, and visualizing multivariate federated data sources. A web-based tool for visualizing different variables in up to four dimensions is implemented on two major cities: Adelaide and Brisbane, as demonstrator sites.