Geospatial Analytics and Computing (GSAC)

The Geospatial Analytics and Computing (GSAC) Group engages with the unique, complex and difficult issues that arise in answering the question ‘where?’

GSAC researches and develops best practice through:

assembling, linking, visualising and analysing diverse data sources, cognisant of relevant underpinning technologies and social processes;
developing mathematical and computational models of social systems and the social connectivity that creates and sustains them;
designing systems for sensing, modelling, understanding and predicting human activities in space and time using the "digital traces" that we humans generate on a daily basis;
developing substantive research applications in social and spatial mobility, housing market analysis, demography, disaster recovery, urban design, retailing and health;
cross-cutting multi-disciplinary research with computer science, civil and geomatic engineering, materials science and bioscience;
teaching initiatives, such as Q-Step, and best-selling books in the field, such as Geographic Information Science and Systems and London: the Information Capital.

Together or singly, members of the Group hold grants from a wide range of funding sources, and members of the Group supervise a large number of PhD students.

Past research students and postdoctoral research associates of GSAC staff have gone on to academic faculty positions at a range of prestigious universities worldwide, or senior research positions in business or government.