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  1. Interpoint squared distance as a measure of spatial clustering.

    Article - En anglais

    The expectation and variance for the mean interpoint squared distance are presented.

    In order to evaluate these expressions it is necessary to calculate the moments of a bivariate uniform distribution defined over an arbitrary polygon.

    Expressions for these moments are presented, allowing the mean interpoint squared distance to be used as a measure of spatial clustering.

    The distribution and power of this test statistic is explored on the unit square, and the spatial distribution of 11 cases of non-Hodgkin's lymphoma is investigated to illustrate an application of the approach.

    Mots-clés Pascal : Lymphome non hodgkinien, Analyse spatiale, Méthodologie, Californie, Etats Unis, Amérique du Nord, Amérique, Epidémiologie, Hémopathie maligne, Lymphoprolifératif syndrome, Analyse amas, Méthode statistique, Homme

    Mots-clés Pascal anglais : Non Hodgkin lymphoma, Spatial analysis, Methodology, California, United States, North America, America, Epidemiology, Malignant hemopathy, Lymphoproliferative syndrome, Cluster analysis, Statistical method, Human

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 93-0341893

    Code Inist : 002B30A01A1. Création : 199406.