Abstract
Numerical taxonomy (formalized cluster analysis) can be defined as a set of procedures which assign objects to groups in such a way that each group reveals some distinct characteristic of the sample population (Orlóci 1978). This means in the classification of vegetation that any cluster of relevés or synoptic tables can be syntaxonomically meaningful only if it can be characterized by a set of species.
This study was supported by an Italian CNR grant for ‘Programma Finalizzato Promozione Qualità dell’ Ambiente, Linea di ricerca: Metodologie matematiche e basi di dati’.
We would like to thank Prof. Dr. L. Orlóci for the revision of the manuscript.
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© 1980 Dr. W. Junk bv Publishers, The Hague
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Feoli, E., Lausi, D. (1980). Hierarchical Levels in Syntaxonomy Based on Information Functions. In: van der Maarel, E. (eds) Classification and Ordination. Advances in vegetation science, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-9197-2_15
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DOI: https://doi.org/10.1007/978-94-009-9197-2_15
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