Principal component analysis (PCA) of microhabitat variables.
收藏数据链接：
官方服务：
资源简介：
Eigenvalues were 2.7 and 2.0 for PC1 and PC2 respectively, explaining 30 and 22% of the variance in microhabitat characteristics, respectively. Variables with values greater than 0.3 are considered to contribute strongly to the axes and are represented in bold.Principal component analysis (PCA) of microhabitat variables.
创建时间：
2015-12-03
