2019/20 Taught Postgraduate Module Catalogue
GEOG5001M GIS Data Visualisation and Analysis 1
15 creditsClass Size: 40
Module manager: Nick Hood
Taught: 01 Oct to 31 Dec View Timetable
Year running 2019/20
This module is mutually exclusive with
|GEOG5032M||GIS Data Visualisation & Analysis|
|GEOG5042M||Geographic Data Visualisation & Analysis|
This module is not approved as an Elective
Module summaryThis module develops core visualisation and spatial analysis and statistical 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 various contexts. Taught through instructional notes and 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 data. Students gain familiarity in applying statistical analysis techniques to explore geographic data. The module equips students to produce and communicate high quality outputs that can be used to inform decision making. This module provides students with the quantitative skills and familiarity with different types of data to enable them to undertake subsequent modules and independent research.
ObjectivesThis module seeks to:
- Introduce and deliver core techniques in spatial and statistical analysis and visualisation as required for quantitative analysis of spatial data
- Give students the opportunity to work with and critically evaluate a range of spatial datasets
- Enable students to carry out quantitative analysis, data exploration and visualisation using core industry standard geographical information systems and statistical packages
- Provide an opportunity for students to independently carry out and critically evaluate spatial and statistical analyses
On completion of this module, students will:
1. Have a theoretical knowledge of core spatial and statistical analysis and visualisation techniques suitable for the analysis of geographically referenced data
2. Be able to apply and critique appropriate statistical and spatial analytical techniques using core industry standard geographical information systems and statistical packages
3. Critically assess insights derived from the analysis of traditional and novel spatial datasets and communicate findings and insight supported by appropriate visualisation tools.
4. Design, execute and critically evaluate a ‘guided’ socio-economic project using software, techniques and data resources introduced within this module.
Introduction to key sources of spatial data related to socio-economics, households and neighbourhoods plus environmental data
Introduction to spatial data, including types of spatial data, geographical referencing, spatial units and geographical building blocks.
Application of core GIS techniques: spatial analysis and spatial data visualisation
Statistical analysis – descriptive statistics, correlation & regression
|Delivery type||Number||Length hours||Student hours|
|Independent online learning hours||48.00|
|Private study hours||78.00|
|Total Contact hours||24.00|
|Total hours (100hr per 10 credits)||150.00|
Private studyPrivate study and online learning includes directed and independent wider reading, independent practical work and researching/undertaking module assessments and related tasks.
Opportunities for Formative FeedbackFormative feedback will be provided via discussion boards where students are encouraged to post questions, comments, practical outputs etc. Note that the outputs requested here will differ from those required as part of the summative portfolio.
The module leader will also provide support via email and Skype/Collaborate Ultra during the software learning stages, in advance of assessment.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Report||Guided report on the application of skills to a socio-economic problem prject||80.00|
|Portfolio||Weekly outputs from practicals||20.00|
|Total percentage (Assessment Coursework)||100.00|
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading listThe reading list is available from the Library website
Last updated: 30/04/2019
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- Undergraduate module catalogue
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