An Infrastructure for Spatial Linking of Survey Data

Authors

Felix Bensmann GESIS, Leibniz Institute for the Social Sciences, Cologne
Lars Heling Karlsruhe Institute of Technology, Karlsruhe
Stefan Jünger GESIS, Leibniz Institute for the Social Sciences, Cologne
Loren Mucha Leibniz Institute of Ecological Urban and Regional Development, Dresden
Maribel Acosta Karlsruhe Institute of Technology, Karlsruhe
Jan Goebel German Socio-economic Panel, Berlin
Gotthard Meinel Leibniz Institute of Ecological Urban and Regional Development, Dresden
Sujit Sikder Leibniz Institute of Ecological Urban and Regional Development, Dresden
York Sure-Vetter Karlsruhe Institute of Technology, Karlsruhe
Benjamin Zapilko GESIS, Leibniz Institute for the Social Sciences, Cologne

DOI:

https://doi.org/10.5334/dsj-2020-027

Keywords:

spatial linking, georeferenced survey data, spatial data, environmental justice, research infrastructure, semantic web technologies

Abstract

Research on environmental justice comprises health and well-being aspects, as well as topics related to general social participation. In this research field, among others, there is a need for an integrated use of social science survey data and spatial science data, e.g. for combining demographic information from survey data with data on pollution from spatial data. However, for researchers it is challenging to link both data sources, because (1) the interdisciplinary nature of both data sources is different, (2) both underlie different legal restrictions, in particular regarding data privacy, and (3) methodological challenges arise regarding the use of geo-information systems (GIS) for the processing and analysis of spatial data.

In this article, we present an infrastructure of distributed web services which supports researchers in the process of spatial linking. The infrastructure addresses the challenges researchers have to face during that process. We present an example case study on the investigation of environmental inequalities with regards to income and land use hazards in Germany by using georeferenced survey data of the GESIS Panel and the German Socio-economic Panel (SOEP), and by using spatial data from the Monitor of Settlement and Open Space Development (IOER Monitor). The results show that increasing income of survey respondents is associated with less exposure to land-use-related environmental hazards in Germany.

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Published

2020-07-02

Issue

Vol. 19 (2020)

Section

Research Papers

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