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    Rights statement: This is the accepted version of the following article: Murrieta-Flores P., Baron A., Gregory I., Hardie A. and Rayson P. (2015) “Automatically analysing large texts in a GIS environment: The Registrar General’s reports and cholera in the nineteenth century” Transactions in GIS, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/tgis.12106/abstract. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Automatically analysing large texts in a GIS environment: the Registrar General’s reports and cholera in the nineteenth century

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Automatically analysing large texts in a GIS environment : the Registrar General’s reports and cholera in the nineteenth century. / Murrieta-Flores, Patricia; Baron, Alistair; Gregory, Ian Norman et al.

In: Transactions in GIS, Vol. 19, No. 2, 04.2015, p. 296-320.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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@article{3bfbd378f53a448c80ae0d0e2349ab32,
title = "Automatically analysing large texts in a GIS environment: the Registrar General{\textquoteright}s reports and cholera in the nineteenth century",
abstract = "The aim of this article is to present new research showcasing how Geographic Information Systems in combination with Natural Language Processing and Corpus Linguistics methods can offer innovative venues of research to analyze large textual collections in the Humanities, particularly in historical research. Using as examples parts of the collection of the Registrar General's Reports that contain more than 200,000 pages of descriptions, census data and vital statistics for the UK, we introduce newly developed automated textual tools and well known spatial analyses used in combination to investigate a case study of the references made to cholera and other diseases in these historical sources, and their relationship to place-names during Victorian times. The integration of such techniques has allowed us to explore, in an automatic way, this historical source containing millions of words, to examine the geographies depicted in it, and to identify textual and geographic patterns in the corpus.",
keywords = "Geographical Information Systems, Spatial Analysis, Spatial statistics",
author = "Patricia Murrieta-Flores and Alistair Baron and Gregory, {Ian Norman} and Andrew Hardie and Rayson, {Paul Edward}",
note = "This is the accepted version of the following article: Murrieta-Flores P., Baron A., Gregory I., Hardie A. and Rayson P. (2015) “Automatically analysing large texts in a GIS environment: The Registrar General{\textquoteright}s reports and cholera in the nineteenth century” Transactions in GIS, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/tgis.12106/abstract. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.",
year = "2015",
month = apr,
doi = "10.1111/tgis.12106",
language = "English",
volume = "19",
pages = "296--320",
journal = "Transactions in GIS",
issn = "1361-1682",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Automatically analysing large texts in a GIS environment

T2 - the Registrar General’s reports and cholera in the nineteenth century

AU - Murrieta-Flores, Patricia

AU - Baron, Alistair

AU - Gregory, Ian Norman

AU - Hardie, Andrew

AU - Rayson, Paul Edward

N1 - This is the accepted version of the following article: Murrieta-Flores P., Baron A., Gregory I., Hardie A. and Rayson P. (2015) “Automatically analysing large texts in a GIS environment: The Registrar General’s reports and cholera in the nineteenth century” Transactions in GIS, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/tgis.12106/abstract. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2015/4

Y1 - 2015/4

N2 - The aim of this article is to present new research showcasing how Geographic Information Systems in combination with Natural Language Processing and Corpus Linguistics methods can offer innovative venues of research to analyze large textual collections in the Humanities, particularly in historical research. Using as examples parts of the collection of the Registrar General's Reports that contain more than 200,000 pages of descriptions, census data and vital statistics for the UK, we introduce newly developed automated textual tools and well known spatial analyses used in combination to investigate a case study of the references made to cholera and other diseases in these historical sources, and their relationship to place-names during Victorian times. The integration of such techniques has allowed us to explore, in an automatic way, this historical source containing millions of words, to examine the geographies depicted in it, and to identify textual and geographic patterns in the corpus.

AB - The aim of this article is to present new research showcasing how Geographic Information Systems in combination with Natural Language Processing and Corpus Linguistics methods can offer innovative venues of research to analyze large textual collections in the Humanities, particularly in historical research. Using as examples parts of the collection of the Registrar General's Reports that contain more than 200,000 pages of descriptions, census data and vital statistics for the UK, we introduce newly developed automated textual tools and well known spatial analyses used in combination to investigate a case study of the references made to cholera and other diseases in these historical sources, and their relationship to place-names during Victorian times. The integration of such techniques has allowed us to explore, in an automatic way, this historical source containing millions of words, to examine the geographies depicted in it, and to identify textual and geographic patterns in the corpus.

KW - Geographical Information Systems

KW - Spatial Analysis

KW - Spatial statistics

U2 - 10.1111/tgis.12106

DO - 10.1111/tgis.12106

M3 - Journal article

VL - 19

SP - 296

EP - 320

JO - Transactions in GIS

JF - Transactions in GIS

SN - 1361-1682

IS - 2

ER -