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A Statistical Method for the Identification of Spatial Clusters

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  • C S Morphet

    (Division of Geography and Environmental Management, University of Northumbria at Newcastle, Newcastle upon Tyne NE1 8ST, England)

Abstract

A method is presented for the identification and location of clusters in data reported in small areal units. The areal units are aggregated into zones which are not prespecified at the outset and which may be of any shape or size. A statistical distribution is described against which any apparent clusters in the zones can be assessed for statistical significance. Monte Carlo methods are used to derive the distribution, and it is argued that complex null hypotheses can be represented in this way. In this approach the critical distinction between prespecified and constructed areas or zones of interest is recognised, and is shown to circumvent some of the difficulties usually associated with modifiable areal units.

Suggested Citation

  • C S Morphet, 1997. "A Statistical Method for the Identification of Spatial Clusters," Environment and Planning A, , vol. 29(6), pages 1039-1055, June.
    • Handle: RePEc:sae:envira:v:29:y:1997:i:6:p:1039-1055
    DOI: 10.1068/a291039
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    References listed on IDEAS

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    1. Martin J. Gardner, 1989. "Review of Reported Increases of Childhood Cancer Rates in the Vicinity of Nuclear Installations in the Uk," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 152(3), pages 307-325, May.
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    Cited by:

    1. Eric Marcon & Florence Puech, 2009. "Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods," Working Papers halshs-00372617, HAL.
    2. Katarzyna Kopczewska, 2016. "Comment to XCL co-agglomeration index: Distance-weighted improved DCL index," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 903-910, November.
    3. Luis Martínez & José Viegas & Elisabete Silva, 2009. "A traffic analysis zone definition: a new methodology and algorithm," Transportation, Springer, vol. 36(5), pages 581-599, September.
    4. Marinus C. Deurloo & Sjoerd De Vos, 2008. "Measuring Segregation At The Micro Level: An Application Of The M Measure To Multi‐Ethnic Residential Neighbourhoods In Amsterdam," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(3), pages 329-347, July.

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