Assoc ProfessorGavin McArdle

Dr McArdle's research interests are in the area of spatial data analysis. His research is applied to the urban domain in the context of smart cities. Three recent projects are listed below.
The Dublin Dashboard - City Analytics The Dublin Dashboard project seeks to provide citizens, government workers and companies with real-time information, urban indicator and benchmarking data, and other forms of data about all aspects of the city - transport, environment, economy, housing, culture, population, health, etc. - through a series of interactive graphs, maps and apps.
DubSim - Simulating Traffic in the City This research project developed a micro-simulation of urban traffic flows within a large scale scenario implemented for the Greater Dublin region in Ireland. Traditionally, the data available for traffic simulations come from a population census and dedicated road surveys which only partly cover shopping, leisure or recreational trips. To account for the latter, this project exploits the digital footprints of city inhabitants on services such as Twitter and Foursquare to tune the traffic simulation.
Geovisual Analysis of Movement data Recent technological advances have increased the quantity of movement data being recorded. While valuable knowledge can be gained by analysing such data, its sheer volume creates challenges. Geovisual analytics, which helps the human cognition process by using tools to reason about data, offers powerful techniques to resolve these challenges. This project developed a new geovisual analytics environment for exploring movement trajectories, which provides visualisation interfaces, based on the classic space-time cube.