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Independence, Stationarity, Categorical Spatial Data and the Chi-Squared Test

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  • B Fingleton

    (Department of Humanities, Cambridgeshire College of Arts and Technology, Cambridge, England)

Abstract

This paper presents a correction to the simple chi-squared test for spatial data. The paper commences with an outline of the temporal analogue before giving a proof for a deflating factor appropriate to a square lattice sampling scheme. The effects of varying degrees of spatial autocorrelation are illustrated, though the correction is designed to require only minimum assumptions about the nature of the autocorrelation mechanism.

Suggested Citation

  • B Fingleton, 1983. "Independence, Stationarity, Categorical Spatial Data and the Chi-Squared Test," Environment and Planning A, , vol. 15(4), pages 483-499, April.
    • Handle: RePEc:sae:envira:v:15:y:1983:i:4:p:483-499
    DOI: 10.1068/a150483
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    Cited by:

    1. Tomáš Hobza & Domingo Morales & Leandro Pardo, 2014. "Divergence-based tests of homogeneity for spatial data," Statistical Papers, Springer, vol. 55(4), pages 1059-1077, November.
    2. Levi John Wolf & Sergio Rey, 2016. "On the lumpability of regional income convergence," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 265-275, October.

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