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

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.

The Changing Significance of European Borders

It is necessary to understand how state borders in Europe are changing in order to fully assess the factors which facilitate and encourage cross-border cooperation. This article considers the enduring social significance of borders, the need for a historical understanding of the nature and extent of border change in Europe, and the impact of recent European integration. Change in the structure, functions and meanings of European state borders has been the norm rather than the exception. Although much of this change has been associated with war, violence and coercion, a key contemporary issue facing the architects of European integration is how the ambiguity and contradictory nature border change can be regulated democratically and managed cooperatively.