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  • Health_Place_AAM

    Rights statement: This is the author’s version of a work that was accepted for publication in Health and Place. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Health and Place, 36, 2015 DOI: 10.1016/j.healthplace.2015.08.010

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Geographical text analysis: a new approach to understanding nineteenth-century mortality

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Geographical text analysis: a new approach to understanding nineteenth-century mortality. / Porter, Catherine; Atkinson, Paul; Gregory, Ian Norman.
In: Health and Place, Vol. 36, 11.2015, p. 25-34.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Porter, C, Atkinson, P & Gregory, IN 2015, 'Geographical text analysis: a new approach to understanding nineteenth-century mortality', Health and Place, vol. 36, pp. 25-34. https://doi.org/10.1016/j.healthplace.2015.08.010

APA

Porter, C., Atkinson, P., & Gregory, I. N. (2015). Geographical text analysis: a new approach to understanding nineteenth-century mortality. Health and Place, 36, 25-34. https://doi.org/10.1016/j.healthplace.2015.08.010

Vancouver

Porter C, Atkinson P, Gregory IN. Geographical text analysis: a new approach to understanding nineteenth-century mortality. Health and Place. 2015 Nov;36:25-34. Epub 2015 Sept 8. doi: 10.1016/j.healthplace.2015.08.010

Author

Porter, Catherine ; Atkinson, Paul ; Gregory, Ian Norman. / Geographical text analysis : a new approach to understanding nineteenth-century mortality. In: Health and Place. 2015 ; Vol. 36. pp. 25-34.

Bibtex

@article{05d0e40f7324420aa959a0bccd7c1974,
title = "Geographical text analysis: a new approach to understanding nineteenth-century mortality",
abstract = "This paper uses Geographic Information Systems (GIS) and Corpus Linguistics to extract disease related keywords from the Registrar-General{\textquoteright}s Decennial Supplements. Combined with known mortality figures, this provides, for the first time, a spatial picture of the relationship between the Registrar-General{\textquoteright}s discussion of disease and deaths in England and Wales in the nineteenth and early twentieth centuries. Techniques such as collocation, density analysis, the Hierarchical Regional Settlement matrix and regression analysis are employed to extract and analyse the data resulting in new insight into the relationship between the Registrar-General{\textquoteright}s published texts and the changing mortality patterns during this time. ",
keywords = "Geographical Text Analysis, Corpus linguistics, GIS, Infant mortality, Registrar-General",
author = "Catherine Porter and Paul Atkinson and Gregory, {Ian Norman}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Health and Place. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Health and Place, 36, 2015 DOI: 10.1016/j.healthplace.2015.08.010",
year = "2015",
month = nov,
doi = "10.1016/j.healthplace.2015.08.010",
language = "English",
volume = "36",
pages = "25--34",
journal = "Health and Place",
issn = "1353-8292",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Geographical text analysis

T2 - a new approach to understanding nineteenth-century mortality

AU - Porter, Catherine

AU - Atkinson, Paul

AU - Gregory, Ian Norman

N1 - This is the author’s version of a work that was accepted for publication in Health and Place. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Health and Place, 36, 2015 DOI: 10.1016/j.healthplace.2015.08.010

PY - 2015/11

Y1 - 2015/11

N2 - This paper uses Geographic Information Systems (GIS) and Corpus Linguistics to extract disease related keywords from the Registrar-General’s Decennial Supplements. Combined with known mortality figures, this provides, for the first time, a spatial picture of the relationship between the Registrar-General’s discussion of disease and deaths in England and Wales in the nineteenth and early twentieth centuries. Techniques such as collocation, density analysis, the Hierarchical Regional Settlement matrix and regression analysis are employed to extract and analyse the data resulting in new insight into the relationship between the Registrar-General’s published texts and the changing mortality patterns during this time.

AB - This paper uses Geographic Information Systems (GIS) and Corpus Linguistics to extract disease related keywords from the Registrar-General’s Decennial Supplements. Combined with known mortality figures, this provides, for the first time, a spatial picture of the relationship between the Registrar-General’s discussion of disease and deaths in England and Wales in the nineteenth and early twentieth centuries. Techniques such as collocation, density analysis, the Hierarchical Regional Settlement matrix and regression analysis are employed to extract and analyse the data resulting in new insight into the relationship between the Registrar-General’s published texts and the changing mortality patterns during this time.

KW - Geographical Text Analysis

KW - Corpus linguistics

KW - GIS

KW - Infant mortality

KW - Registrar-General

U2 - 10.1016/j.healthplace.2015.08.010

DO - 10.1016/j.healthplace.2015.08.010

M3 - Journal article

VL - 36

SP - 25

EP - 34

JO - Health and Place

JF - Health and Place

SN - 1353-8292

ER -