Geodemographics, GIS and Neighbourhood TargetingJohn Wiley & Sons, 2005 M12 13 - 320 pages 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.
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From inside the book
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Page ix
... Example of the Nottingham Youth Justice Board 'Witness' 2: Example of Shotton Paper Company plc 'Witness' 3: Example of The University of Central Lancashire 'Witness' 4: Example of Camelot Group plc Validating geodemographics – the ...
... Example of the Nottingham Youth Justice Board 'Witness' 2: Example of Shotton Paper Company plc 'Witness' 3: Example of The University of Central Lancashire 'Witness' 4: Example of Camelot Group plc Validating geodemographics – the ...
Page 10
... example, Oriental, Vermont and Connecticut Avenues. The answer is we chose the 10% most-deprived. 10 Geodemographics, GIS and Neighbourhood Targeting 1.3 Another application: guiding neighbourhood regeneration funding.
... example, Oriental, Vermont and Connecticut Avenues. The answer is we chose the 10% most-deprived. 10 Geodemographics, GIS and Neighbourhood Targeting 1.3 Another application: guiding neighbourhood regeneration funding.
Page 11
... mortgage value (in Figure 1.4) but take a range of data to better emphasize the differences between neighbourhood types. 1.4 Using geodemographics for retail targeting Our example of using 11 Introducing Geodemographics.
... mortgage value (in Figure 1.4) but take a range of data to better emphasize the differences between neighbourhood types. 1.4 Using geodemographics for retail targeting Our example of using 11 Introducing Geodemographics.
Page 12
... example of using geodemographic classification in Atlantic City can be generalized to a retail company that takes its client list and sorts it into different types of consumer, making its judgement by where the client lives. The sorting ...
... example of using geodemographic classification in Atlantic City can be generalized to a retail company that takes its client list and sorts it into different types of consumer, making its judgement by where the client lives. The sorting ...
Page 14
... example: two or more completely different processes can result in similar outcomes (geographical patterns); particular socio-economic processes do not operate in isolation from others present at the same time and in the same place, so ...
... example: two or more completely different processes can result in similar outcomes (geographical patterns); particular socio-economic processes do not operate in isolation from others present at the same time and in the same place, so ...
Contents
1 | |
29 | |
3 The Evolution of Geodemographics and the Market Today | 53 |
4 Geodemographics and GIS | 77 |
5 Geodemographic Information Systems and Analysis | 109 |
6 How Geodemographic Classifications are Built | 147 |
7 Geodemographics Around the World | 185 |
8 But Does It Work? Geodemographics in the Dock | 207 |
9 New Data New Approaches from Geodemographics to Geolifestyles | 243 |
10 Postscript There are three Is in geodemographics | 273 |
References | 279 |
Index | 289 |
Other editions - View all
Geodemographics, GIS and Neighbourhood Targeting Richard Harris,Peter Sleight,Richard Webber Limited preview - 2005 |
Geodemographics, GIS and Neighbourhood Targeting Richard Harris,Peter Sleight,Richard Webber No preview available - 2005 |
Common terms and phrases
ACORN aggregation assigned attribute values average behaviour Booth bourhood CACI calculated car-owning catchment cell census data census output census variables centre Chapter Claritas classification builder clusters commercial consumer correlation countries database datasets defined demographic deprivation detail ecological fallacy electoral register EuroDirect example Experian Figure GDIS geodemo geodemographic classification Geographic Information Systems geographical information georeference graphic grid holiday identify important income index values inverse distance weighting lifestyle data live London Longley market research methods minimum spanning tree Mosaic multilevel modelling neigh neighbour neighbourhood classification neighbourhood group neighbourhood profile neighbourhood type Newfoundland and Labrador Openshaw output areas particular patterns population postal proportion ranked region Richard Harris Richard Webber sample sector segments social socio-economic spatial statistics survey respondents Table techniques tion types of neighbourhood unit postcode urban users wards West Midlands zones