Error sensitive historical GIS: Identifying areal interpolation errors in time series data

Ian N. Gregory, Paul Ell

    Research output: Contribution to journalArticle

    34 Citations (Scopus)

    Abstract

    Historical GIS has the potential to re-invigorate our use of statistics from historical censuses and related sources. In particular, areal interpolation can be used to create long-run time-series of spatially detailed data that will enable us to enhance significantly our understanding of geographical change over periods of a century or more. The difficulty with areal interpolation, however, is that the data that it generates are estimates which will inevitably contain some error. This paper describes a technique that allows the automated identification of possible errors at the level of the individual data values.
    Original languageEnglish
    Pages (from-to)135-152
    Number of pages18
    JournalInternational Journal of Geographical Information Science
    Volume20(2)
    Issue number2
    DOIs
    Publication statusPublished - 01 Feb 2006

    ASJC Scopus subject areas

    • Information Systems
    • Geography, Planning and Development
    • Library and Information Sciences

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