Visualising past geographies: the use of animated cartograms to represent long-run demographic change in Britain

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

    59 Downloads (Pure)

    Abstract

    Some social processes are directly experienced, but the effects of demographic change are often slow and imperceptible. Further, in a country such as the UK there is much geographical variation and many of the extremes are found among urban populations concentrated into small areas which barely figure on conventional maps. Cartograms -- maps in which areas are made proportional to some other variable such as population -- help solve this second problem while animation deals with the first. The paper presents early results of research based on combining a large historical GIS for Britain, constructed at QMW and containing both a large volume of census and vital registration data from 1851 onwards and the CHANGING boundaries of the various reporting units, and an algorithm developed by Daniel Dorling (Bristol) for the automatic computation of cartograms. Each district is represented by a circle whose changing radius shows population growth or decline; processes contributing to that growth, such as net migration, are shown by changing shading. The animated cartograms we create cannot be conventionally published but can be distributed on CD or viewed over the World-Wide Web.
    Original languageEnglish
    Title of host publicationGraphics, visualisation and the social sciences
    EditorsA. Mumford
    Place of PublicationLoughborough
    PublisherAdvisory Group on Computer Graphics
    Pages95-102
    Number of pages8
    Edition33
    Publication statusPublished - 1997

    Publication series

    NameTechnical Report Series
    PublisherAdvisory Group on Computer Graphics
    Number33

    Fingerprint

    Dive into the research topics of 'Visualising past geographies: the use of animated cartograms to represent long-run demographic change in Britain'. Together they form a unique fingerprint.

    Cite this