2024/25 Taught Postgraduate Module Catalogue

GEOG5002M GIS Data Visualisation and Analysis 2

15 creditsClass Size: 40

Module manager: Helen Durham
Email: h.p.durham@leeds.ac.uk

Taught: 1 Dec to 28 Feb (adv year), 1 Dec to 31 Mar View Timetable

Year running 2024/25

This module is mutually exclusive with

GEOG5032M	GIS Data Visualisation & Analysis
GEOG5042M	Geographic Data Visualisation & Analysis
GEOG5052M	Environmental Data Visualisation & Analysis

This module is not approved as an Elective

Module summary

This module develops core and intermediate spatial analysis skills required for the analysis of geographically referenced data focussing on a range of socio-economic and environmental applications. Taught through instructional notes and practical activities, students will apply their skills and knowledge of spatial analysis to analyse quantitative data. The module equips students to produce and communicate high quality outputs that can be used to inform decision making in a range of real-life applications. This module reinforces the quantitative skills and familiarity with GIS software introduced in GEOG5001M: GIS Data Visualisation and Analysis 1 with different types of data to enable students to undertake subsequent modules and independent research.

Objectives

This module seeks to:
- Build on core skills introduced in GEOG5001M: GIS Data Visualisation and Analysis 1 and develop intermediate skills and techniques in analysis as required for quantitative analysis of spatial data
- Give students the opportunity to work with, and critically evaluate, a range of spatial socio-economic and environmental datasets in relation to real world applications
- Provide an opportunity for students to prepare and process data ready for analysis and independently carry out and critically evaluate spatial analyses in a range of socio-economic and environmental applications

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Develop theoretical knowledge of core and applied spatial analysis techniques suitable for the analysis of geographically referenced data
2. Apply and critique applied spatial analytical techniques using core industry standard geographical information systems
3. Critically assess insights derived from the analysis of a range of socio-economic and environmental datasets and communicate findings and insight supported by appropriate visualisation tools.
4. Design, execute and critically evaluate a ‘guided’ environmental analysis project using 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:
5. Work Ready: Communication - Demonstrate clear, concise and focussed communication, tailored for the audience
6. Digital Skills: Digital proficiency and productivity - Demonstrate how to select, use, troubleshoot and adapt digital devices and software applications to achieve specific goals
7. Work Ready: Demonstrate a logical approach to problem solving and analytical skills
8. Academic Skills: Academic writing - Demonstrate how to write in a clear , concise, focused and structured manner that is supported by relevant evidence.

Syllabus

Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module

Teaching methods

Delivery type	Number	Length hours	Student hours
Supervision	8	1.00	8.00
Discussion forum	8	2.00	16.00
Independent online learning hours			48.00
Private study hours			78.00
Total Contact hours			24.00
Total hours (100hr per 10 credits)			150.00

Opportunities for Formative Feedback

Formative feedback will be provided during practical activities where students will be encouraged to post outputs to devoted unit-by-unit discussion boards. This will allow for peer critique in addition to staff comments. Note that the outputs requested here will differ from those required as part of the summative assessments.
The module leader will also be on hand to provide support (email / Teams / discussion board / etc) during the teaching weeks, in advance of assessment. Whilst not directly formative assessment, this will ensure that the students receive feedback / support on matters of need.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Coursework	20.00
Assignment	Coursework	80.00
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: 29/04/2024 16:14:37

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