Published October 8, 2020 | Version v1.0.0
Software Open

Functional Data Analysis of hydrographic profiles

  • 1. Sorbonne Universités, UPMC Univ., Paris 06, UMR 7159, LOCEAN-IPSL F-75005, Paris, France.
  • 2. Aix-Marseille Université, CNRS/INSU, Université de Toulon, IRD, Mediterranean Institute of Oceanography (MIO) UM 110, Marseille, France.
  • 3. Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden

Description

Functional Data Analysis is a set of tools to study curves or functions. Here we see vertical hydrographic profiles of several variables (temperature, salinity, oxygen,...) as curves and apply a functional principal component analysis (FPCA) in the multivaraite case to reduce the dimensionality of the system. The classical case is done with couples of temperature and salinity. It can be used for front detection, water mass identification, unsupervised or supervised classification, model comparison, data calibration ...

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