Spherical k-means clustering is good for interpreting multivariate species occurrence data
Version of Record online: 2 APR 2013
© 2013 The Authors. Methods in Ecology and Evolution © 2013 British Ecological Society
Methods in Ecology and Evolution
Volume 4, Issue 6, pages 542–551, June 2013
How to Cite
Hill, Mark. O., Harrower, C. A., Preston, C. D. (2013), Spherical k-means clustering is good for interpreting multivariate species occurrence data. Methods in Ecology and Evolution, 4: 542–551. doi: 10.1111/2041-210X.12038
- Issue online: 7 JUN 2013
- Version of Record online: 2 APR 2013
- Manuscript Accepted: 29 JAN 2013
- Manuscript Received: 15 DEC 2012
Fig. S1. CSKM and PSKM biclusterings for Danube Meadow Data.
Fig. S2. Arable bryophyte cluster concentration ratios, with 24 species clusters and 28 sample clusters.
Fig. S3. Cluster hierarchy for 24 species groups shown in Fig. S2.
Fig. S4. Cluster hierarchy for liverwort analysis PSKM W1; each cluster is identified by a key species and a theme.
Fig. S5. Bicluster totals and individual cell concentrations for Liverwort dataset, PSKM W1 analysis.
Fig. S6. Individual cell concentrations (observed/expected) for Native Vascular Plant dataset, PSKM W1 analysis.
Table S1. Themes of species clusters emerging from the analyses of the liverwort dataset.
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