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.
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References
1.
AnselinLGetisA, 1993, “Spatial statistical analysis and geographic information systems”, in Geographic Information Systems, Spatial Modelling and Policy Evaluation Eds FischerM MNijkampP, Springer-Verlag, Berlin) pp 35–50
CressieN A C, 1991Statistics for Spatial Data (John Wiley, Chicester, Sussex)
8.
CuzickJEdwardsR, 1990, “Spatial clustering for inhomogeneous populations”Journal of the Royal Statistical Society Series B5273–104
9.
DiggleP J, 1983Statistical Analysis of Spatial Point Patterns (Academic Press, London)
10.
DiggleP J, 1990, “A point process modelling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point”Journal of the Royal Statistical Society Series A153349–362
11.
DiggleP J, 1993, “Point process modelling in environmental epidemiology”, in Statistics for the Environment Eds BarnettVTurkmanK, John Wiley, Chichester, Sussex) pp 89–110
12.
DiggleP JChetwyndA G, 1991, “Second-order analysis of spatial clustering for inhomogeneous populations”Biometrics471155–1163
13.
DiggleP JRowlingsonB S, 1994, “A conditional approach to point process modelling of elevated risk”Journal of the Royal Statistical Society Series A forthcoming
14.
DiggleP JGatrellA CLovettA A, 1990, “Modelling the prevalence of cancer of the larynx in part of Lancashire: A new methodology for spatial epidemiology”, in Spatial Epidemiology Ed. ThomasR W, Pion, London) pp 35–47
15.
ElliottPCuzickJSternR, (Eds), 1992Geographical Epidemiology (Oxford University Press, Oxford)
16.
GatrellA CRowlingsonB S, 1994, “Spatial point process modelling in a GIS environment”, in Spatial Analysis and GIS Eds FotheringhamA SRogersonP, Taylor and Francis, London) pp 147–163
17.
GatrellA CDunnC EBoyleP J, 1991a, “The relative utility of the Central Postcode Directory and Pinpoint Address Code in applications of geographical information systems”Environment and Planning A231447–1458
18.
GatrellA CMitchellJ DGibsonH NDiggleP J, 1991b, “Tests for spatial clustering in epidemiology: With special reference to motor neurone disease”, in Advances in ALS Research Ed. RoseF C, Smith Gordon, London) pp 67–77
19.
GetisABootsB, 1978Models of Spatial Processes (Cambridge University Press, Cambridge)
20.
KelseyJThompsonGEvansA S, 1986Methods of Observational Epidemiology (Oxford University Press, Oxford)
21.
KinghamS P, 1993Air Pollution and Respiratory Health in Preston: A Geographical Information System Approach PhD thesis, Department of Geography, Lancaster University, Lancaster
22.
MarshallR J, 1991, “A review of methods for the statistical analysis of spatial patterns of disease”Journal of the Royal Statistical Society Series A152421–441
23.
OpenshawS, 1984The Modifiable Areal Unit Problem CATMOG 38 (Geo Books, Norwich)
24.
OpenshawS, 1990, “Automating the search for cancer clusters: A review of problems, progress, and opportunities”, in Spatial Epidemiology Ed. ThomasR W, Pion, London) pp 48–78
25.
OpenshawSCharltonMWymerCCraftA W, 1987, “A Mark 1 geographical analysis machine for the automated analysis of point data sets”International Journal of Geographical Information Systems1335–338
26.
RaperJRhindDShepherdJ, 1992Postcodes: The New Geography (Longman Scientific and Technical, Harlow, Essex)
27.
RipleyB D, 1976, “The second-order analysis of stationary point processes”Journal of Applied Probability13255–266
28.
RowlingsonB SDiggleP J, 1993, “SPLANCS: Spatial point pattern analysis code in S-Plus”Computers and Geosciences19627–655
29.
UptonG JFingletonB, 1985Spatial Data Analysis by Example, Volume 1 (John Wiley, Chichester, Sussex)
30.
WalterSBirnieS E, 1991, “Mapping mortality and morbidity patterns: An international comparison”International Journal of Epidemiology20678–689
