首页> 外文OA文献 >Figure 4: 3D representation of the (A) vegetation plots and (B) geo-climatic variables along the three first principal components of the principal component analysis (cumulative variance explained 76.9) conducted on the páramo vegetation dataset.

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Figure 4: 3D representation of the (A) vegetation plots and (B) geo-climatic variables along the three first principal components of the principal component analysis (cumulative variance explained 76.9) conducted on the páramo vegetation dataset.

机译：图4：（a）植被图的3D表示和（b）沿着主成分分析的三个第一个主要成分的地球气候变量（累计方差解释了76.9％）在Páramo植被数据集上进行。

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4. Dimensionality Reduction and Vegetation Monitoring On LISS III Satellite Image Using Principal Component Analysis and Normalized Difference Vegetation Index [C] . M. Sam Navin, L. Agilandeeswari, Anjaneyulu G. S. G. N International Conference on Emerging Trends in Information Technology and Engineering . 2020

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5. Principal Component Analysis and the Cumulative Gait Index: Translational Tools to Assess Gait Impairments in Rats with Olivocerebellar Ataxia. [D] . Lambert, Chase S. 2015

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Figure 4: 3D representation of the (A) vegetation plots and (B) geo-climatic variables along the three first principal components of the principal component analysis (cumulative variance explained 76.9) conducted on the páramo vegetation dataset.

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