Exploring the requirement for Place-Specific ...
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Exploring the requirement for Place-Specific Geodemographic Classifications
Amanda Otley*, Dr Michelle Morris, Dr Andy Newing, Professor Mark Birkin
October 2018
University of Leeds
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 2/19
What are Geodemographic Classifications?
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 3/19
What are Geodemographic Classifications?
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 4/19
Tobler’s First Law of Geography:
“Everything is related to everything else, but near things are more related than distant
things.”
Tobler W., (1970) "A computer movie simulating urban growth in the Detroit region". Economic Geography, 46(Supplement): 234-240.
Foundation of Geodemographic Classifications
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 5/19
Typical applications
Commercial
E.g. Marketing, retail location planning, etc.
Public Sector
E.g. Policy development, resource allocation, etc.
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 6/19
Scale
Classifications are typically generated at a national extent
Methodological Concerns
Masking local heterogeneity
.. particularly in areas which deviate from ‘national average’
Theoretical Concerns
Goodchild’s 2nd Law of Geography
‘No such thing as a national average’
Goodchild, M.F., 2004. The validity and usefulness of laws in geographic information science and geography. Annals of the Association of American Geographers, 94(2), pp.300-303.
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 7/19
2011 Output Area ClassificationOpen classification with 60 input variables from the decennial census
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 8/19
2011 Output Area Classification
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 9/19
London Output Area Classification (LOAC)
“A key motivation for creating our classification of the Greater London
area independent of the rest of the UK arises out of the belief that there is something distinctively different about the geography of the UK’s
capital city.”
Singleton, A.D. and Longley, P. 2015. The internal structure of Greater London: a comparison of national and regional geodemographic models. Geo: Geography and Environment. 2(1), pp.69-87.
http://www.opengeodemographics.com/#LOAC-section
2011 Output Area Classification
Leeds Specific Output Area Re-classification
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 10/19
Preliminary analysis: Leeds Specific Classification
Key finding: There is a need for a place-specific classification in Leeds – but this is not the best solution.
Proposition…
… place-specific variable selection
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 11/19
Geodemographic precursors: Urban Ecology
Q. What does the social structure of the Leeds population look like?
Concentric rings?
(Burgess, 1925)
Sectional?
(Hoyt, 1939)
Neither?
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 12/19
Q. Which attributes underpin the structure of the Leeds population?
Q. How does this compare with other urban areas?
Occupation? Ethnicity? Age? A combination?
Park, R.E. et al. 1925. The City. Chicago: University of Chicago Press.
Hoyt, H. 1939. The structure and growth of residential neighbourhoods in American cities.
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 13/19
Geodemographic precursors: Factorial Ecology
Latent Variable Methods:
A statistical technique to identify a few common underlying factors/components from a large number of variables
Q. Can an understanding the unique structures of cities inform geodemographic classification variable selection?
Q. Are variables universally representative of the same population characteristics in different locations?
Factor Analysis
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 14/19
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Full-time studentsHighest qualifications level 3School children/Full-time students
Demographicvariables
Housingvariables
Socio-Economicvariables
Employmentvariables
Ethnicity/ Country of birth variables
Leeds Factor Breakdown
Full-time studentsHighest qualifications level 3School children/Full-time students
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Demographicvariables
Housingvariables
Socio-Economicvariables
Employmentvariables
Ethnicity/ Country of birth variables
Bradford Factor Breakdown
“Sta
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Principal Component Analysis
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 15/19
Leeds: Bradford :
Indicators of “stability and wealth”
Country of birth
Leeds: Bradford :
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Principal Component Analysis
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 16/19
Indicators of “stability and wealth”
Ethnicity variables
Employment/unemployment variables
Student variables
“IT professionals”
Leeds: Bradford :
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Principal Component Analysis
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 17/19
Amanda Otley, University of Leeds, LIDA Email: [email protected] Twitter: @amandaotley 18/19
Not all cities are driven by the same variables.
The same variables are not necessarily universal proxies for the same social phenomena in different cities.
Need for place-specific variables supporting place-specific geodemographic classifications.
Next Steps: Work with local government to identify and gather place specific data with which to develop a more informed place-specific classification.
Exploring the requirement for Place-Specific Geodemographic Classifications
Amanda Otley*, Dr Michelle Morris, Dr Andy Newing, Professor Mark Birkin
October 2018
University of Leeds