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Analysing spatio-temporal change using national historical GISs: Population change during and after the Great Irish Famine.

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Analysing spatio-temporal change using national historical GISs: Population change during and after the Great Irish Famine. / Gregory, Ian N.; Ell, Paul S.
In: Historical Methods: A Journal of Quantitative and Interdisciplinary History, Vol. 38, 2005, p. 149-167.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Gregory IN, Ell PS. Analysing spatio-temporal change using national historical GISs: Population change during and after the Great Irish Famine. Historical Methods: A Journal of Quantitative and Interdisciplinary History. 2005;38:149-167.

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Gregory, Ian N. ; Ell, Paul S. / Analysing spatio-temporal change using national historical GISs: Population change during and after the Great Irish Famine. In: Historical Methods: A Journal of Quantitative and Interdisciplinary History. 2005 ; Vol. 38. pp. 149-167.

Bibtex

@article{3eaed1253a954966a3a1bd5c0cd3f171,
title = "Analysing spatio-temporal change using national historical GISs: Population change during and after the Great Irish Famine.",
abstract = "Several countries have made large investments in building historical Geographical Information Systems (GIS) databases containing census and other quantitative statistics over long periods of time. Making good use of these databases requires approaches that explore spatial and temporal change. The authors use a variety of visualization and spatial analysis techniques to explore population change in Ireland during and after the Great Famine of the late 1840s. Importantly, the techniques allow differences over space and time to be explored, thus stressing the diversity between places, rather than making all places appear the same, a common criticism of many statistical approaches. The authors demonstrate the potential of these techniques to explore geographical and temporal variations in large quantitative GIS datasets.",
keywords = "census, Geographical Information Systems (GIS), Great Irish Famine, spatial analysis",
author = "Gregory, {Ian N.} and Ell, {Paul S.}",
year = "2005",
language = "English",
volume = "38",
pages = "149--167",
journal = "Historical Methods: A Journal of Quantitative and Interdisciplinary History",
issn = "0161-5440",
publisher = "Routledge",

}

RIS

TY - JOUR

T1 - Analysing spatio-temporal change using national historical GISs: Population change during and after the Great Irish Famine.

AU - Gregory, Ian N.

AU - Ell, Paul S.

PY - 2005

Y1 - 2005

N2 - Several countries have made large investments in building historical Geographical Information Systems (GIS) databases containing census and other quantitative statistics over long periods of time. Making good use of these databases requires approaches that explore spatial and temporal change. The authors use a variety of visualization and spatial analysis techniques to explore population change in Ireland during and after the Great Famine of the late 1840s. Importantly, the techniques allow differences over space and time to be explored, thus stressing the diversity between places, rather than making all places appear the same, a common criticism of many statistical approaches. The authors demonstrate the potential of these techniques to explore geographical and temporal variations in large quantitative GIS datasets.

AB - Several countries have made large investments in building historical Geographical Information Systems (GIS) databases containing census and other quantitative statistics over long periods of time. Making good use of these databases requires approaches that explore spatial and temporal change. The authors use a variety of visualization and spatial analysis techniques to explore population change in Ireland during and after the Great Famine of the late 1840s. Importantly, the techniques allow differences over space and time to be explored, thus stressing the diversity between places, rather than making all places appear the same, a common criticism of many statistical approaches. The authors demonstrate the potential of these techniques to explore geographical and temporal variations in large quantitative GIS datasets.

KW - census

KW - Geographical Information Systems (GIS)

KW - Great Irish Famine

KW - spatial analysis

M3 - Journal article

VL - 38

SP - 149

EP - 167

JO - Historical Methods: A Journal of Quantitative and Interdisciplinary History

JF - Historical Methods: A Journal of Quantitative and Interdisciplinary History

SN - 0161-5440

ER -