, Volume 83, Issue 1–2, pp 187–194 | Cite as

Computerized matching of relevés and association tables, with an application to the British National Vegetation Classification

  • M. O. Hill


When a new relevé is to be assigned to a pre-existing type, its composition is compared with an association table. Bayesian inference may seem a good way to make the comparison, but presents difficulties. In an alternative approach, three indices of goodness-of-fit are proposed. Compositional satisfaction is a measure of how well the species composition of the relevé fits the constancy classes in the table; it is a minor modification of the Czekanowski coefficient of similarity between observed and expected numbers of species in each constancy class. Dominance satisfaction is a modification of the Czekanowski similarity between the relevé and cover values that might be expected from the association table. Dominance constancy is a weighted mean of the constancy class of the four most abundant species in the relevé. A computer program, TABLEFIT, combines them into a single index. It has been tested on British mire vegetation.


Bayesian inference Diagnosis Goodness-of-fit 


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Copyright information

© Kluwer Academic Publishers 1989

Authors and Affiliations

  • M. O. Hill
    • 1
  1. 1.Monks Wood Experimental StationInstitute of Terrestrial EcologyHuntingdonEngland

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