High dimensional data

High dimensional geological data

Geology data is known to have high dimension. Rock properties, hydraulic properties, etc. The dataset would likely having many variables (columns) and samples (rows).

Then how do you know which variables or sets of variable that have stronger role to the samples?

You can use “pcaMethods” R package.
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Erwin

Research interest: Hydrochemistry, multivariate analysis, and R programming My current focus is how to provide the hydrostratigraphy of volcanic aquifers in Bandung area. The research is based on environmental isotope measurement in groundwater and morphometry. My work consists of hydrochemical measurements. I am using multivariate statistical methods to provides more quantitative foundation for the analysis and more insight into the groundwater behaviour.

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