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Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal by Gray, Jennie (author);Buckner, Lisa (author);Comber, Alexis (author) is a Environmental Science article available to read on EtoBox.

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This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. St

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Author

Gray, Jennie (author);Buckner, Lisa (author);Comber, Alexis (author)

Publisher

MDPI AG

Published

2021

Language

EN

Field

Environmental Science (Physical Sciences)