Module manager: Alexis Comber
Email: a.comber@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2025/26
This module is not approved as a discovery module
Understanding and modelling socio-economic processes in urban, regional and national systems; spatial modelling, the process of gathering data; spatial analysis, mapping and developing models. This module provides an introduction to key tools used in data analytics research and consultancy.
This module will support you to develop ...
- an understanding of key geographic data sources and knowledge of how to extract and manipulate and map them;
- an understanding of what models, how to apply them to spatial and non-spatial data and the basic stages of development;
- in depth knowledge of how to visualise data and spatial data properties;
- through case studies and associated practicals, an understanding of spatial processes and the value of modelling for understanding the present and predicting the future;
- skills in designing, constructing and running models in a basic geocomputation framework and linking the results to a GIS for advanced analysis.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject
1. Source, handle, process, and manipulate different types of data and spatial data effectively.
2. Apply various approaches to visualize data and spatial data properties and their relationships.
3. Create different types of statistical models for prediction and inference, and understand their relative differences.
4. Conduct advanced spatial analyses using these models.
5. Utilize advanced spatial analysis, GIS, and geocomputation techniques for modeling.
6. Evaluate the virtues and limitations of describing geographical systems using modeling, visualization, geocomputation, and GIS techniques.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
1. Systems Thinking (Sustainability)
2. Digital Creation, Problem Solving and Innovation (Digital)
3. Information Searching (Academic)
4. Problem Solving and Analytical Skills (Work Ready)
5. Core Literacies (Work Ready)
6. Technical/IT skills (Work Ready)
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 10 | 1 | 10 |
| Practical | 10 | 3 | 30 |
| Private study hours | 160 | ||
| Total Contact hours | 40 | ||
| Total hours (100hr per 10 credits) | 200 | ||
Dedicated project support sessions
Clear descriptions and illustrations of what is required in the assessment
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Coursework | Coursework | 100 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Check the module area in Minerva for your reading list
Last updated: 14/03/2025
Errors, omissions, failed links etc should be notified to the Catalogue Team