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[journal article]

dc.contributor.authorBensmann, Felixde
dc.contributor.authorHeling, Larsde
dc.contributor.authorJünger, Stefande
dc.contributor.authorMucha, Lorende
dc.contributor.authorAcosta, Maribelde
dc.contributor.authorGoebel, Jande
dc.contributor.authorMeinel, Gotthardde
dc.contributor.authorSikder, Sujitde
dc.contributor.authorSure-Vetter, Yorkde
dc.contributor.authorZapilko, Benjaminde
dc.date.accessioned2021-10-13T09:06:18Z
dc.date.available2021-10-13T09:06:18Z
dc.date.issued2020de
dc.identifier.issn1683-1470de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/75195
dc.description.abstractResearch 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.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherspatial 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)de
dc.titleAn Infrastructure for Spatial Linking of Survey Datade
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalData Science Journal
dc.source.volume19de
dc.publisher.countryFRAde
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenschutzde
dc.subject.thesozdata protectionen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozUmweltbelastungde
dc.subject.thesozenvironmental impacten
dc.subject.thesozBodennutzungde
dc.subject.thesozland useen
dc.subject.thesozsozioökonomische Faktorende
dc.subject.thesozsocioeconomic factorsen
dc.subject.thesozdemographische Faktorende
dc.subject.thesozdemographic factorsen
dc.subject.thesozregionale Faktorende
dc.subject.thesozregional factorsen
dc.subject.thesozUngleichheitde
dc.subject.thesozinequalityen
dc.identifier.urnurn:nbn:de:0168-ssoar-75195-5
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-18de
internal.identifier.classoz10105
internal.identifier.journal2131
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.5334/dsj-2020-027de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
dc.description.miscFDBde
ssoar.wgl.collectiontruede
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internal.pdf.encryptedfalse


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