The Fuzzy Cluster, Reciprocal Averaging Ordination and R-Principal Component Analysis of Forest Communities on Hong Kong Island[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 1987,26(4):66-73.
The Fuzzy Cluster, Reciprocal Averaging Ordination and R-Principal Component Analysis of Forest Communities on Hong Kong Island[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 1987,26(4):66-73.DOI:
A further research was made to the 13 forest communities on Hong Kong island by using fuzzy cluster
reciprocal averaging (RA) and R-Principal component analysis (R-PCA). The results show that fuzzy cluster is suitable for the classfication of the lower subtropical forests
especially
the higher classficational units. The RA ordination indicates the relations between 13 forest communities and 60 species distribution in these forest communities and it seems better and more significant than the other methods in this field. And R-PCA illustrated the relationship between the dominant and subordinate species.
关键词
&nbsp香港岛森林群落模糊聚类相互平均排序R型主分量分析
Keywords
&nbspHong kong islandForest communitiesFuzzy clusterReciprocal averaging ordinationR-Principal component analysis