Taught Postgraduate Module Catalogue

GEOG5052M Environmental Data Visualisation & Analysis

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

Taught: invalid View Timetable

Module replaces

GEOG5947M Consumer Data Analytics & VisualisationGEOG5010M Principles of GISGEOG5520M Quantitative and Spatial MethodsGEOG5740M Intro to GISGEOG5510M Using GIS

This module is not approved as an Elective

Module summary

This module develops core visualisation and spatial analysis 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 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. 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.

Objectives

As relevant to a student’s programme of study, this module seeks to:
- Introduce and deliver core techniques in spatial 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 which may be:
Socio-economic sources at different scales (as individuals, households and neighbourhoods) including `traditional’ (e.g. census and survey) and novel (e.g. transactional) sources;
Environmental sources, for example, including landscape, indicators of rurality and pollution;
- Enable students to carry out quantitative analysis, data exploration and visualisation using core industry standard geographical information systems.

Learning outcomes
On completion of this module, students will:
1. Have a theoretical knowledge of core spatial analysis and visualisation techniques suitable for the analysis of geographically referenced data
2. Be able to 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.

Syllabus

As relevant to a student’s programme of study, lectures and practicals will cover:

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 and network analysis and spatial data visualisation

Raster analysis of environmental data

Interpolation of data to surfaces

Private study

Undertaking core and wider reading, research and preparation of independent assessed work.
Independent work on practical activities outside of timetabled practical session.

Opportunities for Formative Feedback

Students will submit a practical output at the end of Unit 1 for formative feedback.
Student progress monitored via informal formative assessment of student progress during practical sessions. Since students should be compiling their Portfolio on an ongoing basis, this can be viewed during practical sessions to ensure their skillset and understanding are progressing.

Reading list

There is no reading list for this module

Last updated: 05/08/2020 17:04:15

Disclaimer

Browse Other Catalogues

• Undergraduate module catalogue
• Taught Postgraduate module catalogue
• Undergraduate programme catalogue
• Taught Postgraduate programme catalogue

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD