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Testing for clustering of health events within a geographical information system framework.

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

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Testing for clustering of health events within a geographical information system framework. / Kingman, S. P.; Gatrell, A. C.; Rowlingson, B.
In: Environment and Planning A, Vol. 27, No. 5, 1995, p. 809-821.

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

Harvard

Kingman, SP, Gatrell, AC & Rowlingson, B 1995, 'Testing for clustering of health events within a geographical information system framework.', Environment and Planning A, vol. 27, no. 5, pp. 809-821. https://doi.org/10.1068/a270809

APA

Kingman, S. P., Gatrell, A. C., & Rowlingson, B. (1995). Testing for clustering of health events within a geographical information system framework. Environment and Planning A, 27(5), 809-821. https://doi.org/10.1068/a270809

Vancouver

Kingman SP, Gatrell AC, Rowlingson B. Testing for clustering of health events within a geographical information system framework. Environment and Planning A. 1995;27(5):809-821. doi: 10.1068/a270809

Author

Kingman, S. P. ; Gatrell, A. C. ; Rowlingson, B. / Testing for clustering of health events within a geographical information system framework. In: Environment and Planning A. 1995 ; Vol. 27, No. 5. pp. 809-821.

Bibtex

@article{a69c6458d6bb4fdea2c009641438ddf6,
title = "Testing for clustering of health events within a geographical information system framework.",
abstract = "An approach to analysing data for spatial clustering is outlined, with special reference to environmental epidemiology. The method is based on recent developments in spatial point-process modelling; specifically, on the use of so-called 'second-order' analysis of bivariate point patterns. This continuous-space approach offers some advantages over analytical methods that aggregate health events to areal units. The method is implemented within the framework of a proprietary geographical information system, ARC/INFO, and is illustrated with reference to health data from a questionnaire survey of children in Preston (Lancashire). The nature of the data gained from the questionnaire means that variables which may affect the health of the children studied can be accounted for within the analysis.",
author = "Kingman, {S. P.} and Gatrell, {A. C.} and B. Rowlingson",
year = "1995",
doi = "10.1068/a270809",
language = "English",
volume = "27",
pages = "809--821",
journal = "Environment and Planning A",
issn = "1472-3409",
publisher = "SAGE PUBLICATIONS INC",
number = "5",

}

RIS

TY - JOUR

T1 - Testing for clustering of health events within a geographical information system framework.

AU - Kingman, S. P.

AU - Gatrell, A. C.

AU - Rowlingson, B.

PY - 1995

Y1 - 1995

N2 - An approach to analysing data for spatial clustering is outlined, with special reference to environmental epidemiology. The method is based on recent developments in spatial point-process modelling; specifically, on the use of so-called 'second-order' analysis of bivariate point patterns. This continuous-space approach offers some advantages over analytical methods that aggregate health events to areal units. The method is implemented within the framework of a proprietary geographical information system, ARC/INFO, and is illustrated with reference to health data from a questionnaire survey of children in Preston (Lancashire). The nature of the data gained from the questionnaire means that variables which may affect the health of the children studied can be accounted for within the analysis.

AB - An approach to analysing data for spatial clustering is outlined, with special reference to environmental epidemiology. The method is based on recent developments in spatial point-process modelling; specifically, on the use of so-called 'second-order' analysis of bivariate point patterns. This continuous-space approach offers some advantages over analytical methods that aggregate health events to areal units. The method is implemented within the framework of a proprietary geographical information system, ARC/INFO, and is illustrated with reference to health data from a questionnaire survey of children in Preston (Lancashire). The nature of the data gained from the questionnaire means that variables which may affect the health of the children studied can be accounted for within the analysis.

U2 - 10.1068/a270809

DO - 10.1068/a270809

M3 - Journal article

VL - 27

SP - 809

EP - 821

JO - Environment and Planning A

JF - Environment and Planning A

SN - 1472-3409

IS - 5

ER -