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 ‘Big Data’ sources (e.g. maps.cdrc.ac.uk). This frequently requires understanding of the technologies and social processes that lead to data assembly and maintenance;
- developing mathematical and computational models of social systems and the geotemporal processes that sustain and develop them;
- the design of systems for sensing, modelling, understanding and predicting human dynamics in space and time using the "digital traces" we generate daily;
- substantive research applications in retailing, demography, health, security & privacy, intelligent systems design, education and policing;
- 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.