SpatPCA

Regularized Principal Component Analysis for Spatial Data

CRAN Package

Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, doi:10.1080/10618600.2016.1157483). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.

  • Version1.3.5
  • R version≥ 3.4.0
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release11/13/2023

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  • Imports3 packages
  • Suggests15 packages
  • Linking To3 packages