Geodemographics and the University of East London
6 months after adopting P² People & Places UEL explain how they are using the classification
As the University of East London pass their 6-month mark of using our geodemographic classification, P² People & Places, Professor Allan Brimicombe, Head of The Centre for Geo-Information Studies, provided us with an update about how it’s being used and their future plans.
P² People & Places is regularly used by up to 20 students on GIS Spatial Modules. PhD and MSc students use the data as and when they need it for a wide range of projects. Plugged into a GIS programme, P² People & Places allows for an in-depth analysis of classifications of people within given areas. This allows students to select fields of interest and map them accordingly. One example is the activeness of Neighbourhood watch groups. This is then “overlaid” with the P² People & Places data allowing for students to see if certain tree or branch types can be associated with more, or less active areas.
P² People & Places is also used by Professor Brimicombe and the rest of the staff at The Centre for Geo-Information Studies in their own independent research, allowing them to, like above, see if certain tree or branch types are associated with areas of study.
The University of East London have committed to a 5 year period of using P² People & Places. In this time they are planning an expansion of academic research. They also use P² People & Places to collaborate with communities and local services to improve the facilities available to these groups.
P² People & Places is an extremely detailed demographic classification and we are delighted with our decision to use it on the world's first Doctorate in Data Science. Our research teams and students have used P² to unlock meaningful and actionable insight from other data sources such as GP prescription data and social media location data. We’re excited by the opportunities P² analysis provides to better understand people’s lifestyles and behaviour, and are looking forward to applying it to further projects in the future.
Professor Allan J. Brimicombe JP PhD CGeog FRGS FGS FAcSS
Head, Centre for Geo-Information Studies
GP prescription data is a valuable source of information
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