Summary
TRGRPS can detect groups or signal if discrete groups cannot be found in a sample. The present paper elaborates on the concepts, describes the algorithm and provides illustrations from syntaxonomy. A computer program (TRGRPS.BAS) is available from the author upon request.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Jancey, R.C. 1974. Algorithm for detection of discontinuities in data sets. Vegetatio 29: 131–133.
Lausi, D., W.G. Beeftink & W.M. Kortekaas, 1976. Survey of salt marsh relevés selected for the working group for Data Processing in Phytosociology, to be published in Vegetatio.
Maarel, E. van der, L. Orlóci & S. Pignatti 1976. Data Processing in Phytosociology: retrospect and anticipation. Vegetatio 32: 65–72.
Orlóci, L. 1967. An agglomerative method to classify plant communities. J. Ecol. 55: 193–205.
Orlóci, L. 1975. Multivariate Analysis in Vegetation Research. Dr. W. Junk b.v. Publishers, The Hague, 276 pp.
Sneath, P.H.A. 1957. The application of computers to taxonomy. J. Gen. Microbiol. 17: 201–226.
Author information
Authors and Affiliations
Additional information
Contribution from the Working Group for Data Processing in Phytosociology, International Society for Vegetation Science. For nomenclature of species see Lausi, Beeftink & Kortekaas (1975).
The research project, from which this paper summarizes partial results, is supported by a National Research Council of Canada grant. Computer time was provided by the University of Western Ontario.
Rights and permissions
About this article
Cite this article
Orlóci, L. Trgrps — an interactive algorithm for group recogniton with an example from spartinetea. Plant Ecol 32, 117–120 (1976). https://doi.org/10.1007/BF02111905
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02111905