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
Accepted author manuscript, 1.19 MB, PDF document
Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -