Areas of Expertise

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

Publications

  1. Beck, B., Chong, D., Olivier, J., Perkins, M., Tsay, A., Rushford, A., Li, L., Cameron, P., Fry, R., & Johnson, M. How much space do drivers provide when passing cyclists? Understanding the impact of motor vehicle and infrastructure characteristics on passing distance. Accident Analysis & Prevention
  2. Higgs, G., Langford, M., Jarvis, P., Page, N., Richards, J., & Fry, R. Using Geographic Information Systems to investigate variations in accessibility to ‘extended hours’ primary healthcare provision. Health & Social Care in the Community
  3. Fry, R., Orford, S., Rodgers, S., Morgan, J., & Fone, D. A best practice framework to measure spatial variation in alcohol availability. Environment and Planning B: Urban Analytics and City Science, 239980831877376
  4. Higgs, G., Zahnow, R., Corcoran, J., Langford, M., & Fry, R. Modelling spatial access to General Practitioner surgeries: Does public transport availability matter?. Journal of Transport & Health, 6, 143-154.
  5. Fry, R., Turner, S., Rodgers, S., Lyons, R., Mackay, M., Vincenten, J., & Griffiths, H. 68 Implementation of the ‘School Travel Safety Survey’ for Data Linkage Research. In Injury Prevention (pp. A26.2-A27).

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Teaching

  • GEGM22 Geographical Information Systems

    This module will provide students from a range of disciplines including Geography, Bioscience and Health Science with a comprehensive understanding of Geographic Information Systems, and key practical skills in the market-leading open-source GIS software tool Quantum GIS (QGIS). 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.

  • PM-344 Capstone Project

    The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to medical science. It will ask a novel research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through creating an introductory presentation on the project background, and a written dissertation and oral presentation on their research conclusions.

  • 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.

  • PMIM502J 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.

Supervision

  • ACTIVE CHILDREN THROUGH INDIVIDUAL VOUCHERS – EVALUATION (ACTIVE): A MIXED METHOD RANDOMISED CONTROL TRIAL TO IMPROVE THE CARDIOVASCULAR FITNESS AND HEALTH OF TEENAGERS (current)

    PhD
    Other supervisor: Dr Richard Fry
    Other supervisor: Prof Damon Berridge
    Other supervisor: Prof Sinead Brophy
  • 'Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data' (awarded 2018)

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