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.

A delphy study of the cooperativisation of the social services in the historical territory of Gipuzkoa

This article shows the main results obtained from the Delphi study, which was made of politicians and technicians from the Department of Social Policy in the County Council of Gipuzkoa, concerning the possibility of cooperativizing the provision of social services in this historical territory. With this in mind, the structure of this article is in two different parts. The first part develops the theoretical framework which serves as inspiration for the empirical work, where note is made of the main theoretical proposals that have a bearing on the collective dimension of citizen participation in the management of public services. Among the various models, those which prioritise public participation through social and solidarity economy entities stand out. The second part concerns itself with the presentation of the field research results. To this end, the methodological notes concerning the preparation process for the Delphi analysis are presented first and this is immediately followed by a synthesis of the main results obtained in this study. The article ends with a section of conclusions and future lines of action.

A method to bridge the gap between breadth and depth in IS narrative analysis

A method extending narrative analysis with grounded theory analysis is proposed to bridge the gap between breadth and depth in IS narrative research. The purpose of the method is not to develop a theory but to make narrative analysis more accessible, transparent and accountable; and the resultant narrative more contextually grounded. The method is aimed particularly at inexperienced narrative researchers who currently lack guidance through the complexity of narrative analysis, but may also benefit experienced narrative researchers who may not be familiar with the applicability of grounded theory tools and techniques in this area.