SS7047 - Urban Patterns and Spatial Analysis (2013/14)
| Module specification | Module approved to run in 2013/14, but may be subject to modification | ||||||||||||
| Module status | DELETED (This module is no longer running) | ||||||||||||
| Module title | Urban Patterns and Spatial Analysis | ||||||||||||
| Module level | Masters (07) | ||||||||||||
| Credit rating for module | 20 | ||||||||||||
| School | Faculty of Social Sciences and Humanities | ||||||||||||
| Total study hours | 200 | ||||||||||||
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| Assessment components |
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| Running in 2013/14(Please note that module timeslots are subject to change) |
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Module summary
N.B. this module is taught in Block - over 6 days, 6 hrs per day.
The module introduces the student to the fields of social enquiry where mapping can provide relevant answers
to the key questions. Introduces and evaluates the primary data sources available for this.
Introduces and explains the principles of computer mapping, GIS software and social data that
can be spatially represented. The module teaches students to conduct their own GIS based study
in this field and undertake critical review of GIS generated work.
Prior learning requirements
None
Module aims
1. Introduction to the social geography of cities, looking particularly at Greater London
2. Introduction to main sources of social data and their management for use in GIS applications.
2. Designing research for GIS: modelling and other appropriate analytical techniques .
3. Introduction to mapping software and its related issues.
4. Critical analysis of GIS projects.
Syllabus
The concepts of a socio-spatial city and mapping people and populations in urban contexts. Relevant Spatial data: sampling, data sources, data capture, data errors, socio-economic & environmental data. Maps, GIS and spatial analysis. Applications of GIS projects. GIS software, particularly ArcGIS. Consideration of range of current applications.
Learning and teaching
The module will be delivered with the use of small group teaching involving some lecturing and formal input but mainly IT studio and screen based tutorials and workshop sessions using a GIS software package, providing extensive opportunity to acquire and develop practical as well as cognitive skills and understanding.
Learning outcomes
1. Ability to relate and interpret the social to the spatial.
2. Know how to handle mapping software and assess the representational and visual
characteristics of mapped output.
3. Ability to write reports on GIS mapping and to generate own GIS outputs.
4. Ability to apply analytical techniques to GIS data and critically evaluate outcomes.
Assessment strategy
This is oriented to working practically with data and its presentation as well as examining systematic conceptual and contextual understanding. Assignment one (2,000 word essay) enables student to critically assess uses to which GIS are put (lo1, lo2). Assignment two (2000 word Project) enables students to demonstrate their own ability to apply techniques to generate GIS outputs from socio-economic data and critically evaluate outcomes (lo3, lo4).
Bibliography
Ormsby, T et al (3rd edition 2008), Getting to know ArcGIS desktop, ESRI Press
Longley, P., Goodchild, M.F., Maguire, D., & Rhind, D. (2005) Geographic Information Systems and Science, Wiley
Green, R P & Pick, J B (2006) Exploring the urban community: a GIS approach, Pearson
Buck, N. et al (2002) Working Capital, Routledge.
Hamnett, C. (2003) Unequal City: Loindon in the global arena, Routledge
Lindsay,J.M. (1997) Techniques in Human Geography, Routledge
Butler,T. and Robson,G. (2001) Social Capital, Gentrification, and Neighbourhood Change in London, Urban Studies Vol.38 No.12, pp.2145-2162
Chrisman,N (1997) Exploring Geographic Information Systems, Wiley
Clarke,K.C. (1999) Getting started with Geographic Information Systems, Prentice Hall (2nd edn)
A. Stewart Fotheringham and Michael Wegener (eds.) Spatial Models and GIS: New Potential
and New Models, Taylor and Francis: London. 2000
Greater London Authority (2002) London Divided: Income Inequality and Poverty in the Capital, GLA