UCL Department of Geography
GEOGG153 Geodemographics and Population Geography
  
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GEOGG153 Geodemographics and Population Geography

OPTION: GEOGG153 - GEODEMOGRAPHICS and POPULATION GEOGRAPHY
(15 credits)

Term 2 (2012)

Staff:
Paul Longley and Pablo Mateos

Aims:

The Geodemographics and Population Geography module aims:

  • to equip students with an understanding of the analytical methods that are used to create summary indicators of neighbourhood conditions
  • to facilitate critical engagement with the data sources that are used to create such summary measures
  • to facilitate understanding of the measurement, mapping and modelling of population distributions



Content

The module will consider:

  • Population data sources and their geographic integration
  • The evolution of geodemographics - social area analysis, factorial ecology and commercial systems
  • Open source geodemographics - the UK Output Area Classification
  • Real time computation, ancillary data sources and geodemographics
  • The onotology of ethnicity - the geography of naming conventions
  • Scale, aggregation and modifiable areal unit effects
  • The geodemography of real and virtual worlds
  • Mapping population distribution: densities, centroids, location quotients
  • Measuring urban density and sprawl
  • Space-time mapping
  • Population cartography and cartograms



Assessment:

1 piece of assessed coursework, plus the results of four practical sessions (marked on a ‘pass/fail’ basis). The coursework will be set in the week before Reading Week and must be completed by the end of term.
Student support will be available in timetabled practical sessions and individual support by the lecturing staff in term weekly office hours. 


Format:

The course will be taught using lectures, related to online sources and accompanying practical sessions. The practical sessions will be assessed on a ‘pass-fail’ basis, with the remainder of the coursework accounted for by an extended essay or other project assignment.

Student support will be available in timetabled practical sessions and individual support by the lecturing staff in term weekly office hours. 
Learning Outcomes:

At the end of the module, students should:

  • understand how different sources of spatially referenced data may be integrated, with due regard to issues of scale and aggregation, in order to create pertinent indicators of local conditions
  • be able to apply advanced geographic techniques in order to create summary scores and indicators pertaining to populations at scales from the global to the local
  • develop novel solutions to neighbourhood profiling, using unconventional as well as conventional data sources, whilst remaining cognisant of the dangers of inference from unsystematic or self-selecting samples
  • be able to apply established and novel cartographic conventions to the mapping of population
  • understand how the temporal dimension may be accommodated in population mapping and modelling