A new tool for neighbourhood change research: The Canadian Longitudinal Census Tract Database, 1971–2016.
Performing longitudinal analysis of socio‐economic change in small‐area spatial units such as census tracts presents several methodological complications and requires significant data preparation. Unit boundaries are revised each census year because of changes in population and delineation methodolo...
| Publicado en: | Canadian Geographer Vol. 62; no. 4; pp. 575 - 589 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
Winter2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=133372177&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 133372177 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00083658 CGE jtl: Canadian Geographer issn: 00083658 maglogo: Y pubinfo: dt: Winter2018 vid: 62 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 133372177 10.1111/cag.12467 ppf: 575 ppct: 14 formats: tig: atl: A new tool for neighbourhood change research: The Canadian Longitudinal Census Tract Database, 1971–2016. aug: au: Allen, Jeff Taylor, Zack affil: Department of Geography & Planning, University of Toronto Department of Political Science, University of Western Ontario su: Census Neighborhood change Geographic information systems Databases Preparation of data in electronic data processing sug: subj: Census Neighborhood change Data Processing, Hosting, and Related Services Geographic information systems Databases Preparation of data in electronic data processing keyword: areal interpolation census tracts GIS historical geography neighbourhood change changement dans le voisinage géographie historique interpolation spatiale secteurs de recensement SIG areal interpolation census tracts GIS historical geography neighbourhood change changement dans le voisinage géographie historique interpolation spatiale secteurs de recensement SIG ab: Performing longitudinal analysis of socio‐economic change in small‐area spatial units such as census tracts presents several methodological complications and requires significant data preparation. Unit boundaries are revised each census year because of changes in population and delineation methodologies. This limits cross‐year comparison since data are not representative of the same spatial units. To address these problems, we have developed an innovative procedure to reduce error when comparing tract‐level data across census years by apportioning data to the same areal units. This paper describes the methods used to create the Canadian Longitudinal Tract Database. Our procedure is a combination of map‐matching techniques, dasymetric overlays, and population‐weighted areal interpolation. The output is a set of tables with apportionment weights pertaining to pairs of unique boundary identifiers across census years, which can be linked with census data or other data with census identifiers that require longitudinal comparison. Key Messages: Neighbourhood change research is challenged by census boundaries being revised each census year.This paper describes the creation of a longitudinal spatial database of census tracts in Canada, bridging tract‐level data for the 1971–2016 quinquennial censuses to a common set of boundaries.Methodology includes map‐matching, dasymetric overlays, and population‐weighted areal interpolation in order to minimize error when boundaries change over time. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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