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An Infrastructure for Spatial Linking of Survey Data

[Zeitschriftenartikel]

Bensmann, Felix
Heling, Lars
Jünger, Stefan
Mucha, Loren
Acosta, Maribel
Goebel, Jan
Meinel, Gotthard
Sikder, Sujit
Sure-Vetter, York
Zapilko, Benjamin

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 inf... mehr

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.... weniger

Thesaurusschlagwörter
Datengewinnung; Datenschutz; Datenqualität; Umweltbelastung; Bodennutzung; sozioökonomische Faktoren; demographische Faktoren; regionale Faktoren; Ungleichheit

Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften

Freie Schlagwörter
spatial linking; georeferenced survey data; spatial data; environmental justice; research infrastructure; semantic web technologies; GESIS Panel - Extended Edition, ZA5664, Datenfile Version 19.0.0; Georefererenced Socio-economic Panel (doi:10.5684/soep.v33.1); Monitor of Settlement and Open Space Development (IOER Monitor, 2017)

Sprache Dokument
Englisch

Publikationsjahr
2020

Seitenangabe
S. 1-18

Zeitschriftentitel
Data Science Journal, 19 (2020)

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

ISSN
1683-1470

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.