Integration of demographic and geographic data
The first aim of the project is to integrate historic economic and demographic information with historic and modern geographic information. The purpose of this integration is both to enable analysis and visualisation. A specific problem in the integration is that the demographic data is individual level longitudinal data while the historic maps are only snapshots of the geographic conditions. Related to this issue is also the standardisation of storage and distribution of historic economic and demographic information. There has been substantial work and progress internationally during the last years. One mission of this project is to contribute in the standardisation work with how geographic data can be linked and integrated with the demographic data. A second aim is the visualisation of demographic and geographic data, especially concerning the problem of their different time representations. But we will also study it from a technological perspective and investigate how good graphic presentations can be made with the emerging HTML5 standard.
The Centre for Economic Demography (CED), Lund University has built up a demographic database, the Scanian Economic-Demographic Database (SEDD), during the last decades. This database contains demographic and economic information about all persons that have lived in 5 parishes in Skåne from the 17th century up to today.
In the first stage of this project the SEDD has been linked to both historic and modern geographic information. To enable this we have scanned and digitised around 50 historical maps and built a web service that can integrate demographic data, historic map data as well as modern geographic data stored in external map services.
The data and service above enables us to study both visualisation and analyses of data with different time and space representations. To achieve this, generally applicable solutions on how to integrate continuous demographic data with discrete geographical data are provided.
In a second stage, a further methodological challenge to integrate time-dependent context data on macro level with the individual level demographic and geographic data will be met. This will permit analyses of the impact of common exposure, bound by geography, on individual outcomes.
The aims of the project will be met by providing general methodological tools and a case illustration through the open access web service.
The project is a cooperation between two partners at separate faculties at Lund university. The Centre for Economic Demography (CED) is an independent unit at the Lund University School of Economics and Management (LUSEM). Physical Geography and Ecosystem Sciences (PGES) is a department of the Science faculty.