A Comparison of Nonmetric Multidimensional Scaling , Principal Components and Reciprocal Averaging for the Ordination of Simulated Coenoclines , and Coenoplanes

@inproceedings{Fasham2007ACO,
  title={A Comparison of Nonmetric Multidimensional Scaling , Principal Components and Reciprocal Averaging for the Ordination of Simulated Coenoclines , and Coenoplanes},
  author={Michael J. R. Fasham},
  year={2007}
}
The use of nonmetric multidimensional scaling as an ordination method has been studied by the use of simulated coenoclines and coenoplanes. It was found that the method always produced better ordinations than principal components analysis and in most cases better than reciprocal averaging, providing the multidimensional scaling was calculated using a space of the same dimensions as the simulated data. For real data of which the dimensionality is unknown, the minimum spanning tree can provide a… CONTINUE READING
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