Constrained indicator species analysis (COINSPAN): An extension of TWINSPAN

Journal of Vegetation Science

Volumn 7, Issue 1, 1996, Pages 125-130

  Carleton, T J ^a   Stitt, R H ^a   Nieppola, J ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Canonical Correspondence Analysis; Gradient segmentation; Vegetation classification

Indexed keywords

COINSPAN; CONSTRAINED INDICATOR SPECIES ANALYSIS; METHODOLOGY; TWINSPAN; VEGETATION CLASSIFICATION;

EID: 0030441821     PISSN: 11009233     EISSN: None     Source Type: Journal    
DOI: 10.2307/3236425     Document Type: Article

References (19)

1. Benzécri, J.-P. 1969. Statistical analysis as a tool to make patterns emerge from data. In: Watanabe, S. (ed.) Methodologies of Pattern Recognition, pp. 35-60. Academic Press, New York, NY.
2. Borcard, D., Legendre, P. & Drapeau, P. 1992. Partialling out the spatial component of ecological variation. Ecology 73: 1045-1055.
3. Cajander, A.K. 1926. The theory of forest types. Acta Forest. Fenn. 29: 1-108.
4. Carleton, T.J. & MacLellan, P. 1994. Woody vegetation responses to fire versus clear-cut logging: a comparative survey in the central Canadian boreal forest. Ecoscience 1: 141-152.
5. Dale, M.B. 1992. Knowing when to stop: cluster concept - concept cluster. In: Feoli, E. & Orlóci. L. (eds.) Computer Assisted Vegetation Analysis, pp. 149-172. Handbook of Vegetation Science, Vol. 11. Kluwer Academic Publishers, Dordrecht.
6. Hartigan, J. A. 1975. Clustering Algorithms. Wiley, New York, NY.
7. Hill, M.O. 1973. Reciprocal averaging: an eigenvector method of ordination. J. Ecol. 61: 237-249.
8. Hill, M.O. 1979a. DECORANA: A Fortran Program for Detrended Correspondence Analysis and Reciprocal Averaging. Ecology and Systematics, Cornell University, Ithaca, NY.
9. Hill, M.O. 1979b. TWINSPAN: A Fortran Program for Arranging Multivariate Data in an Ordered Two-way Table by Classification of the Individuals and Attributes. Ecology and Systematics, Cornell University, Ithaca, NY.
10. Hill, M.O. & Gauch, H. 1980. Detrended correspondence analysis: an improved ordination technique. Vegetatio 42: 47-58.
11. Hill, M.O., Bunce, R.G.H. & Shaw, M.W. 1975. Indicator species analysis, a divisive polythetic method of classification, and its application to a survey of native pinewoods in Scotland. J. Ecol. 63: 597-613.
12. Noy-Meir, I. & Whittaker, R.H. 1977. Continuous multivariate methods in community analysis: some problems and developments. Vegetatio 33: 79-98.
13. Palmer, M.W. 1993. Putting things in even better order: the advantages of canonical correspondence analysis. Ecology 14: 2215-2230.
14. Pielou, E.C. 1984. The Interpretation of Ecological Data. Wiley, New York, NY.
15. ter Braak, C.J.F. 1982. DISCRIM - A modification of TWINSPAN (Hill 1979) to construct simple discriminant functions and to classify attributes, given a hierarchical classification of samples. Report C 82 ST 10756. TNO Institute of Mathematics, Information processing and Statistics, Wageningen.
16. ter Braak, C.J.F. 1986. Canonical correspondence analysis: a new eigenvector technique for multi variate direct gradient analysis. Ecology 67: 1167-1179.
17. ter Braak, C.J.F. 1987. Partial canonical correspondence analysis. In: Unimodal models to relate species to environment, pp. 83-91. Agricultural Mathematics Group, Box 100, NL-6700 AC Wageningen.
18. ter Braak, C.J.F. 1990. CANOCO - a Fortran program for canonical community ordination by correspondence analysis, principal components analysis, and redundancy analysis. Agricultural Mathematics Group, Wageningen.
19. van Groenewoud, H. 1992. The robustness of correspondence, detrended correspondence, and TWINSPAN analysis. J. Veg. Sci. 3: 239-246.