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2022/23 Taught Postgraduate Module Catalogue

YCHI5075M Spatial Analytics and Visualisation for Health

15 creditsClass Size: 60

Module manager: Michelle Morris

Taught: 1 Apr to 30 June View Timetable

Year running 2022/23

Pre-requisite qualifications

Identical to student's parent taught postgraduate programme or PhD.
YCHI5045M (Statistics for Health Sciences) or equivalent level of basic statistics knowledge.




YCHI5055MHealth Data Analytics and Visualisation

This module is mutually exclusive with


Module replaces


This module is not approved as an Elective

Module summary

Presenting aspects of health care or health outcomes across space is of increasing importance. This module is aimed at individuals working with health data to introduce them to the analysis of spatial units and give them the skills necessary to use Geographic Information Systems (GIS) for understanding and presenting key information.The course will build on the Health Data Analytics module to develop a critical understanding and knowledge of the relevant application of GIS methods using both open source and licensed software.


The purpose of the module is to provide students with a solid grounding in:
- The fundamentals of the analysis of spatial units and their relevance to health
- The application of relevant GIS methods to better understand and visualise their health related data.

Learning outcomes
By the end of the module students will be able to:
1. Understand data governance issues around the use spatial data in health, including issues related to identification of home address from global positioning systems or unit postcodes (lecture & tutorials)
2. Critically apply appropriate spatial scales and methods to health data (lectures, tutorials & practical sessions)
3. Appropriately apply spatial methods alongside statistical methods (lecture, tutorials & practical sessions)
4. Understand the context of spatial data in healthcare and be able to critically evaluate and synthesise results appropriate to the research question (lectures, seminars & practical sessions)
5. Communicate appropriately and creatively results from spatial analysis (seminars and practical sessions)
6. Understand and perform spatial analysis using QGIS (practical sessions)
7. Understand and perform spatial analysis using R (practical sessions)

Skills outcomes
This module will prepare you in the application of GIS and R in healthcare settings.


- Data governance specific to spatial data
- Spatial units and their interplay with healthcare
- Spatial data sources and types of data available
- Spatial data cleaning and matching methods
- Spatial analysis versus spatial statistics
- GIS methods in QGIS (licenced software) and R (Open source software)
- Application of GIS models to study disease in populations
- Application of GIS models to study provision of healthcare
- GIS data visualisation and communication
- Novel applications of GIS methods including at local and international scale

Teaching methods

Delivery typeNumberLength hoursStudent hours
Class tests, exams and assessment31.003.00
Group learning18.008.00
Private study hours110.00
Total Contact hours40.00
Total hours (100hr per 10 credits)150.00

Private study

Module pre-reading and directed exercises (12 hours)
- Background reading
- Spatial unit exercise
During contact week (12 hours)
- Directed reading and exercises, including a critical evaluation of GIS visualisations
- Formative quizzes to consolidate learning
After contact week (86 hours)
- Formative assessment
- Summative assignment

Opportunities for Formative Feedback

Group feedback on directed exercises during the contact week (written)
Seminar discussions and short exercises (group feedback, verbal)
A formative peer and tutor assessed group presentation of a spatial data analysis on the final day of the contact week, with immediate feedback (individual feedback, verbal)
A formative assignment to be completed following the contact week, with individual written feedback before summative coursework due

Methods of assessment

Assessment typeNotes% of formal assessment
ReportProject report on the analysis and visualisation of a given dataset100.00
Oral PresentationFormative group presentation0.00
In-course MCQFormative quizzes during the contact week with immediate feedback0.00
CritiqueFormative appraisal of published study using GIS methods0.00
Total percentage (Assessment Coursework)100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 20/03/2023


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