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

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 0269-3798

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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.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Geographical Information Systems
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/ga
Subjects:
ID Code:
19847
Deposited By:
Deposited On:
17 Nov 2008 12:07
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Apr 2020 01:10