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.
|Number of pages||18|
|Journal||International Journal of Geographical Information Science|
|Publication status||Published - 01 Feb 2006|
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development
- Library and Information Sciences