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UCL Home  /  Geography  /  Research  /  Geospatial Analytics and Computing

Geospatial Analytics and Computing (GSAC)

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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.



      Group members

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