Gregory, Ian N. and Ell, Paul S. (2006) Error sensitive historical GIS: Identifying areal interpolation errors in time series data. International Journal of Geographical Information Systems, 20 (2). pp. 135-152. ISSN 0269-3798Full text not available from this repository.
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.
|Journal or Publication Title:||International Journal of Geographical Information Systems|
|Uncontrolled Keywords:||Areal interpolation ; Error ; Historical GIS ; Time series ; Census|
|Subjects:||?? ga ??|
|Departments:||Faculty of Arts & Social Sciences > History|
|Deposited By:||Dr Ian Gregory|
|Deposited On:||17 Nov 2008 12:07|
|Last Modified:||28 Apr 2017 01:16|
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