Module manager: Helen Durham
Email: h.p.durham@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2022/23
| GEOG5001M | GIS Data Visualisation and Analysis 1 |
| GEOG5002M | GIS Data Visualisation and Analysis 2 |
| GEOG5032M | GIS Data Visualisation & Analysis |
| GEOG5042M | Geographic Data Visualisation & Analysis |
This module is not approved as an Elective
This module develops core visualisation and spatial analysis knowledge and skills required for the analysis of geographically referenced data. Students are introduced to ‘traditional’ and 'novel’ datasets at different spatial scales and granularities related to areas, individuals, households and neighbourhoods in both human and environmental contexts. Taught through selected lectures and primarily via fully-supported practical activities, students will gain a comprehensive knowledge of powerful industry-standard Geographic Information Systems (GIS) as a tool for mapping and spatial analysis and become familiar with spatial units, concepts and techniques that are used to analyse quantitative human and environmental data. This module provides students with in-depth knowledge of different types of data and the requisite quantitative skills to enable them to undertake subsequent modules and independent research. Furthermore, the module equips students to produce and communicate high quality outputs that can be used to inform decision making.
As relevant to a student’s programme of study, this module seeks to:
1. Introduce and deliver core techniques in spatial analysis and visualisation as required for quantitative analysis of spatial data;
2. Give students the opportunity to work with and critically evaluate a range of spatial datasets which may be:
a. Socio-economic sources at different scales (as individuals, households and neighbourhoods) including ‘traditional’ (e.g., census and survey) and novel (e.g., transactional) sources;
b. Environmental sources, for example, including landscape, indicators of rurality and pollution;
3. Enable students to carry out quantitative analysis, data exploration and visualisation using core industry standard geographical information systems;
4. Provide an opportunity for students to independently carry out and critically evaluate spatial analyses.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Have a theoretical knowledge of core spatial analysis and visualisation techniques suitable for the analysis of geographically referenced data;
2. Apply and critique appropriate spatial analytical techniques using core industry standard geographical information systems;
3. Critically assess insights derived from the analysis of traditional and novel spatial datasets and communicate findings and insight supported by appropriate visualisation techniques;
4. Develop the skills to execute and critically evaluate an independent analysis project using appropriate software, techniques and data resources introduced within this module.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
1. Work Ready: Communication that is clear, concise and focused and tailored to audience
2. Digital Skills: Digital proficiency and productivity – select, use, troubleshoot and adapt digital devices and software applications to achieve specific goals
3. Work Ready: Problem solving and analytical skills
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Workshop | 3 | 5 | 15 |
| Lectures | 2 | 2 | 4 |
| Practical (computer based) | 2 | 2 | 4 |
| Independent online learning hours | 25 | ||
| Private study hours | 102 | ||
| Total Contact hours | 23 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Student progress monitored via informal formative assessment of student progress during practical sessions. In addition, students will submit weekly outputs from the practical sessions for formative feedback.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Coursework | 100 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
There is no reading list for this module
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team