Dr Richard Fry
Senior Lecturer
Medicine
Telephone: (01792) 606523
Room: Cellular Office for 3 - 308
Third Floor
Data Science Building
Singleton Campus

Areas of Expertise

  • GIS
  • Spatial Analysis
  • Computing
  • Spatial Databases
  • OpenSource Software

Publications

  1. Examining the potential of Internet-based geographical information systems to promote public participation in wind farm planning.
  2. (2009). An evaluation of online GIS-based landscape and visual impact assessment tools and their potential for enhancing public participation in wind farm planning in the UK.
  3. The institutional and cultural challenges to developing portals for inter-disciplinary data sharing: some reflections from WISERD.
  4. Improving road ice prediction through the introduction of GIS gererated geographical parameters to an ice forecasting model.
  5. Digital inclusion and connectivity of minority communities: the case of communities of disabled people.

See more...

Teaching

  • GEGM22 Geographical Information Systems

    This module will provide students from a range of disciplines including Geography, Epidemiology and Bioscience, with a comprehensive understanding of Geographic Information Systems, and key practical skills in the market-leading GIS software tool, ESRI ArcGIS. At the end of the module students will know how and where to acquire geospatial data, how to combine and analyse these data for specific objectives, and how to visualise primary and derived data in the form of maps.

  • PMIM102 Scientific Computing and Health Care

    The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dan Thayer

  • PMIM502 Health Data Visualisation

    Health data scientists often have to present their findings to a non-academic/expert audience. The objective of this module is to enable students to choose and produce appropriate visualisations of health related data using a range of media. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dr Richard Fry.

Supervision

  • 'Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data' (awarded 2018)

    Student name:
    PhD
    Other supervisor: Prof Ronan Lyons
    Other supervisor: Dr Richard Fry
    Other supervisor: Prof Sarah Rodgers