e-Society

Map Type: GMapCreator tile layer

Data location: Unknown

Uploaded by: richard

Created: 03/08/2007 12:42:11. Viewed 1930 times. Last Viewed: 09/09/2010 05:51:27

Keywords: London Profiler e-Society

Brief Description

The e-Society geodemographic classification is based on levels of awareness of information and communications technologies, usage patterns, and attitudes to their effects upon quality of life.

Detailed Information

The e-Society classification

The e-Society classification is from a family of area classifications referred to as geodemographics. This classification was developed as part of a project at University College London and presents a detailed classification of neighbourhoods based on information about levels of awareness of information and communications technologies, usage patterns, and attitudes to their effects upon quality of life. The classification provides a valuable and accessible means of studying the ‘e-Society’ and people’s engagement with new information and communications technologies.

How was the e-Society classification created?

The e-Society classification was initially created using the Mosaic Pixel Grid (MPG) methodology which is a 6240 cluster classification built at the individual person level. After appending data to Pixels from Experian lifestyle surveys on use and engagement with information communication technologies, k-means cluster analysis was used to re- aggregate a new e-Society typology. This Type level classification consisted of 23 clusters; however, as common in many other geodemographic classifications, a Group level classification was created by aggregating the 23 Types into 8 clusters using a Ward clustering algorithm . For the purpose of display on this website, the individual level classification was then aggregated into Output Areas based on the classification group which appeared most frequently within the area.

Where can I find out more?

UK Geography of the E-Society: A National Classification CASA Working Paper

The E-Society Profiler Spatial Literacy Website