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Social and Urban Applications Using Geospatial Technologies


  • Credit value: 30 credits at Level 7
  • Convenor: Shino Shiode
  • Assessment: two 15-minute in-class presentations (40% each) and a 2000-word practical-theoretical report (20%)

Module description

Geographic data science is increasingly important in our society, allowing researchers and practitioners to analyse, visualise and understand important geographical issues in various sectors. When combined with theoretical and empirical knowledge, spatial analysis and mapping become powerful tools to interpret geographic data, enabling us to comprehend and propose solutions to real-world problems.

This research-led module will cover several topics per term, delivered through case studies and a problem-based approach. It does not assume prior knowledge of theories or (GIS) technical skills, although previous experience with either or both aspects would be beneficial.

The module is recommended for students interested in applying geospatial science to real-world case studies and/or developing confidence in handling geospatial data.

Indicative module content

  • Segregation
  • Socio-spatial inequality
  • Transport
  • Crime
  • Demography
  • Public health

Learning objectives

By the end of the module, you will have:

  • developed an understanding of how geographic data science can be utilised for solving social, urban and public health problems
  • engaged with selected theories and methods in geographic data science
  • applied selected data and geospatial tools to a real-world case study and conducted spatial analysis at the appropriate level.