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68% of the total variance in the water dataset is described by axes (components) 1 and 2. The 12 water chemical variables are represented as vectors radiating from the origin of the plot.
PCA was executed on the correlation matrix of the water dataset, with the intention of identifying a reduced set of factors that could capture the variance of a dataset.
Hence the BETHY/DLR model needs an initial soil water content, the ECMWF soil water dataset is used only for the transient phase of the model.
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Our control vocabulary for LAGOSLIMNO is provided in Additional file 4. Second, we documented the individual site-level metadata for each water quality dataset using ecological metadata language (EML), which is the community standard for ecological datasets.
Table 2 summarizes statistics of surface water geochemical dataset.
We use a spatially explicit water quality dataset, along with a wealth of landscape, economic, geographic, and demographic variables.
Here we investigate an extensive water quality dataset collected from 2006 to 2015 within the Loxahatchee River, Florida watershed.
We examine this relationship by employing two novel datasets: a 0.5 m resolution land cover classification of the town of Ipswich, MA and a town-wide household-scale monthly water billing dataset.
The study presents a novel approach for exploratory analysis of a comprehensive water chemistry dataset, incorporating principal components analysis (PCA) and principal components (PC) and partial least squares (PLS) regressions.
We evaluated the completion time and approximation quality of each SFC, in order to choose the one that achieves the best balance between timing performance and approximation accuracy, regarding the water consumption dataset.
Geographic Information System GISspatialial tools were used to identify which wetlands within the water body dataset from the King County data portal meet the criteria for our survey (ESRI 2011; King County 2010).
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