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Figure 3.
Result of the Principal Component Analysis (PCA) carried out on the physicochemical and bacteriological variables measured in the different stations during the study period: (
A
) Histogram of the eigen vector; (
B
) Correlation circle between variables and factorial axes F1 and F2; (
C
) Biplot showing the distribution of the stations with respect to their physicochemical and bacteriological characteristics in the factorial plane F1 X F2
From
Using Principal Component Analysis to Assess Water Quality from the Landing Stages in Coastal Region
Antoine Tamsa Arfao, Mamert Fils Onana, Ernest Koji, Luciane Marlyse Moungang, Olive Vivien Noah Ewoti, Joel Brice Tchuimaleu Emadjeu, Siméon Tchakonté, Awawou Manouore Njoya, Télesphore Sime-Ngando, et Nola Moise
American Journal of Water Resources
.
2021
, 9(1), 23-31 doi:10.12691/ajwr-9-1-4
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