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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 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.

     

    Group members

     


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