Geodemographic classification is ‘big business’ in the marketing and service sector industries, and in public policy there has also been a resurgence of interest in neighbourhood initiatives and targeting. As an increasing number of professionals realise the potential of geographic analysis for their business or organisation, there exists a timely gap in the market for a focussed book on geodemographics and GIS.
Geodemographics: neighbourhood targeting and GIS provides both an introduction to and overview of the methods, theory and classification techniques that provide the foundation of neighbourhood analysis and commercial geodemographic products. Particular focus is given to the presentation and use of neighbourhood classification in GIS.
- Authored by leading marketing professionals and a prominent academic, this book presents methods, theory and classification techniques in a reader-friendly manner
- Supported by private and public sector case studies and vignettes
- The applied ‘how to’ sections will specifically appeal to the intended audience at work in business and service planning
- Includes information on the recent UK and US Census products and resulting neighbourhood classifications
|Series:||Mastering GIS: Technol, Applications & Mgmnt Series , #7|
|Product dimensions:||6.20(w) x 9.21(h) x 0.90(d)|
About the Author
Richard Harris, University of Bristol, UK.
Peter Sleight, Target Market Consultancy, UK.
Table of Contents
List of Case Study Contributors.
1 Introducing Geodemographics.
The use of demographics.
A simple application: opening a coffee shop Atlantic City.
Another application: for guiding neighbourhood regeneration funding.
Using geodemographics for retail targeting.
How it works: a short theory of geodemographics.
Case Study: modelling price sensitivity and geodemographic categories in the restaurant market (Martin Callingham).
Case Study: using geodemographics in the public sector Keith Dugmore).
Where next? An overview of the following chapters.
2 London to Chicago and back again! The origins of geodemographics.
The life and labours of an early neighbourhood analyst.
From London to Chicago and beyond!
A note on measuring deprivation.
Case Study: Charles Booth – yesterday once more? (Scott Orford).
3 The Evolution of Geodemographics and the Market Today.
From Census to commerce.
The US Market for Geodemographics (Dave Miller).
The role of market research linkages.
Use of non-census data.
4 Geodemographics and GIS.
Principles of GIS.
Mapping geodemographic information with GIS.
An interesting pattern?
Confounded by choropleths!
Case Study: Using GIS for neighbourhood analysis and targeting – a commercial perspective (Stewart Berry).
Spatial interaction models.
5 Geodemographic Information Systems and Analysis.
Data collection and input.
Data visualization and output.
Case Study: Different neighbourhoods, different policing styles (Tom Williamson).
6 How geodemographic classification are built.
Data input – sources of data for neighbourhood classification.
Preparing the data for classification.
Evaluation of input variables.
Optimization process and manual intervention.
Forming a cluster hierarchy.
Labels, portraits and visualization tools.
A worked example of clustering.
7 Geodemographics around the world.
The internalisation of geodemographics.
Case Study: a brief comparison of selected censuses from across the world (Peter Furness).
Census data sources – some differences in what is asked and where.
Differences in the availability of non census data sources.
Variations in the detail of the postal delivery system.
Geographies of neighbourhood worldwide.
8 "But does it work? " Geodemographics in the dock.
The case for the prosecution.
The case for the defence.
Validating geodemographics – the Luton Case Study (Barry Leventhal).
9 New data, new approaches: from geodemographics to geolifestyles.
Case Study: Lifestyles analysis and new approaches (Gordon Farquharson).
Using GIS to map lifestyle data.
Looking for ‘hot spots’.
From revelation to explanation.
Data handling issues.
10 Postscript: There are three Is in geodemographics!