Premium
Constrained indicator species analysis (COINSPAN): an extension of TWINSPAN
Author(s) -
Carleton T.J.,
Stitt R.H.,
Nieppola J.
Publication year - 1996
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.2307/3236425
Subject(s) - ordination , canonical correspondence analysis , vegetation (pathology) , ecology , extension (predicate logic) , indicator species , canonical correlation , geography , indicator value , correspondence analysis , set (abstract data type) , canonical analysis , mathematics , computer science , statistics , habitat , biology , medicine , pathology , programming language
. A new vegetation classification method, COnstrained‐INdicator‐SPecies‐ANalysis (COINSPAN) is introduced as an elaboration of Two‐Way‐INdicator‐SPecies‐ANalysis (TWINSPAN). Instead of operating on the bisection of a primary Correspondence Analysis ordination axis, at each level of division, COINSPAN bisects a primary Canonical Correspondence Analysis axis. The associated computer program, of the same name, performs both analyses as options. COINSPAN is applied to a simple model data set, with two constraining gradients, and to a pine forest vegetation survey in order to illustrate the functioning and utility of the method.