Geo-coding addresses in historic British census data: An open methodology.
This article introduces CensusGeocoder, an open-source python package for automated address geo-coding, and AddressGB, an openly available dataset of c. 121 million individuals with geo-coded addresses from I-CeM (digitized historic British census data for 1851 to 1911). AddressGB enables address an...
| Publicado en: | Historical Methods Vol. 58; no. 1; pp. 31 - 54 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Jan-Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=182506156&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 182506156 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01615440 HMT jtl: Historical Methods issn: 01615440 maglogo: N pubinfo: dt: Jan-Mar2025 vid: 58 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 182506156 10.1080/01615440.2024.2431491 ppf: 31 ppct: 23 formats: tig: atl: Geo-coding addresses in historic British census data: An open methodology. aug: au: Rhodes, Joshua affil: History, Durham University, UK The Alan Turing Institute, London, UK su: Python programming language Spatial resolution Data analysis Parishes Recording & registration Geographic information systems United Kingdom sug: subj: United Kingdom Python programming language Spatial resolution Data analysis Parishes Recording & registration Geographic information systems keyword: Britain Census geo-code historical GIS ab: This article introduces CensusGeocoder, an open-source python package for automated address geo-coding, and AddressGB, an openly available dataset of c. 121 million individuals with geo-coded addresses from I-CeM (digitized historic British census data for 1851 to 1911). AddressGB enables address and street-level GIS analysis of I-CeM data, a much higher spatial resolution than existing approaches that aggregate individuals to parishes or census registration sub-districts. This also opens new opportunities for linking historic census data to other spatial datasets. The article details the methodology underpinning CensusGeocoder and showcases the scale, accuracy, representativeness, and future applications of AddressGB. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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