dc.contributor.author | Chan-Tack, Anjanette M. | de |
dc.date.accessioned | 2014-05-05T12:40:12Z | |
dc.date.available | 2015-11-04T16:16:24Z | |
dc.date.issued | 2014 | de |
dc.identifier.issn | 0172-6404 | |
dc.identifier.uri | http://www.ssoar.info/ssoar/handle/document/38487 | |
dc.description.abstract | Innovations in GIS and spatial statistics offer exciting opportunities to examine novel questions and to revisit established theory. Realizing this promise requires investment in spatially-sensitive data. Though convenient, widely-used administrative datasets are often spatially insensitive. They limit our ability to conceptualize and measure spatial relationships, leading to problems with ecological validity and the MAUP – with profound implications for substantive theory. I dramatize the stakes using the case of supermarket red-lining in 1970 Chicago. I compare the analytical value of a popular, spatially insensitive administrative dataset with that of a custom-built, spatially sensitive alternative. I show how the former constrains analysis to a single count measure and aspatial regression, while the latter’s point data support multiple measures and spatially-sensitive regression procedures; leading to starkly divergent results. In establishing the powerful impact that spatial measures can exert on our theoretical conclusions, I highlight the perils of relying on convenient, but insensitive datasets. Concomitantly, I demonstrate why investing in spatially sensitive data is essential for advancing sound knowledge of a broad array of historical and contemporary spatial phenomena. | en |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | spatial regression; spatially-sensitive data; spatial measurement; ecological validity; Modifiable Areal Unit Problem (MAUP); retail red-lining; supermarket access; neighborhood effects | |
dc.title | The case for spatially-sensitive data: how data structures affect spatial measurement and substantive theory | de |
dc.title.alternative | Raumsensible Daten: wie Datenstrukturen räumlich-geographisches Messen substantielle Theorie beeinflussen | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Historical Social Research | |
dc.source.volume | 39 | de |
dc.publisher.country | DEU | |
dc.source.issue | 2 | de |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.classoz | Wirtschafts- und Sozialgeographie | de |
dc.subject.classoz | Economic and Social Geography | en |
dc.subject.thesoz | Nachbarschaft | de |
dc.subject.thesoz | zone | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | regionale Faktoren | de |
dc.subject.thesoz | regional factors | en |
dc.subject.thesoz | Raum | de |
dc.subject.thesoz | Stadtsoziologie | de |
dc.subject.thesoz | Stadtforschung | de |
dc.subject.thesoz | neighborhood | en |
dc.subject.thesoz | analysis | en |
dc.subject.thesoz | Einzelhandel | de |
dc.subject.thesoz | research approach | en |
dc.subject.thesoz | urban sociology | en |
dc.subject.thesoz | Forschungsansatz | de |
dc.subject.thesoz | statistics | en |
dc.subject.thesoz | urban research | en |
dc.subject.thesoz | retail trade | en |
dc.subject.thesoz | Statistik | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Analyse | de |
dc.identifier.urn | urn:nbn:de:0168-ssoar-384875 | |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10041794 | |
internal.identifier.thesoz | 10044626 | |
internal.identifier.thesoz | 10034712 | |
internal.identifier.thesoz | 10043917 | |
internal.identifier.thesoz | 10040664 | |
internal.identifier.thesoz | 10052841 | |
internal.identifier.thesoz | 10035432 | |
internal.identifier.thesoz | 10058587 | |
internal.identifier.thesoz | 10059065 | |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.source.pageinfo | 315-346 | de |
internal.identifier.classoz | 10305 | |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 152 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.source.issuetopic | Spatial analysis | de |
dc.identifier.doi | https://doi.org/10.12759/hsr.39.2014.2.315-346 | de |
dc.subject.methods | Grundlagenforschung | de |
dc.subject.methods | development of methods | en |
dc.subject.methods | basic research | en |
dc.subject.methods | Methodenentwicklung | de |
dc.description.pubstatus | Published Version | en |
dc.description.pubstatus | Veröffentlichungsversion | de |
internal.identifier.licence | 16 | |
internal.identifier.methods | 11 | |
internal.identifier.methods | 8 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
dc.subject.classhort | 10300 | de |
dc.subject.classhort | 10100 | de |
dc.subject.classhort | 10200 | de |
internal.embargo.terms | 2015-10-17 | |
internal.pdf.version | 1.3 | |
internal.pdf.valid | true | |
internal.pdf.wellformed | true | |
internal.check.abstractlanguageharmonizer | CERTAIN | |
internal.check.languageharmonizer | CERTAIN_RETAINED | |