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Visualizing Changing Social Structure from a Census

Authors: D Dorling;

Visualizing Changing Social Structure from a Census

Abstract

In this paper it is shown how new visualization techniques are being used to analyze the first results of the British 1991 Census and other large data sets. Of interest here are questions about how localities have developed over time; which neighbourhoods have experienced gentrification and in which places have the recessions of the previous decades had their worst effects? Overall, do we see a picture of polarization or a levelling out of social disparities either locally or nationally? It is argued that these questions cannot be answered by conventional quantitative techniques because the answers are unlikely to be simple enough to be presentable in tables or by equations. Pictures are needed to show how different processes occur in different places, and holistic patterns need also to be seen without generalizing out the detail. Neither traditional thematic mapping nor commercial geographic information systems can do this well. Spatial visualization is an alternative approach in which the researchers choose what they wish to see and how they wish to view it. Many problems require new methods of visualization for their exploration. A new census presents us not only with new statistics, but also with the opportunity and impetus to develop radically different ways of envisioning information to reveal more fully the human facts contained within a mass of social statistics.

Related Organizations
Keywords

Economics, Developed Countries, Research, Censuses, United Kingdom, Europe, Social Class, Socioeconomic Factors, Population Characteristics, Maps as Topic

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    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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