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

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>02/2006
<mark>Journal</mark>International Journal of Geographical Information Systems
Issue number2
Number of pages18
Pages (from-to)135-152
Publication StatusPublished
<mark>Original language</mark>English


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.