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Social and Environmental Applications Using Geospatial Technologies

Overview

  • Credit value: 30 credits at Level 7
  • Convenor: Joana Barros
  • Assessment: a 4000-word practical-theoretical report (100%)

Module description

Geographic data science plays an increasingly crucial role in our society, allowing researchers and practitioners to analyse, visualise and understand important geographical issues on a variety of sectors. When combined with theoretical and empirical knowledge, spatial analysis and mapping become very powerful tools to comprehend and propose solutions to real-world problems with geographical/spatial dimensions.

This module is research-led and will cover a maximum of three topics per term, to be developed as case studies, using a problem-based approach. It does not assume prior knowledge on theories or (GIS) technical skills, although previous experience with either or both aspects would be beneficial.

The module is recommended to students with a strong interest in the application of geospatial science to real-world case studies and confidence with the use of computer technology and/or datasets.

Indicative module content

  • Segregation
  • Socio-spatial inequality
  • Transport
  • Crime
  • Energy
  • Pollution

Learning objectives

By the end of the module, you will have:

  • an understanding of how geographic data science can be used to understand social, environmental and/or urban problems
  • engaged with selected theories on the social, environmental and/or urban geography themes covered
  • applied selected data and geospatial tools to a real-world case study and carried out spatial analysis at the appropriate level
  • interpreted results of geo-spatial analysis critically drawing from relevant theoretical and empirical knowledge on relevant themes and case studies.