SpatPCA-package: Regularized Principal Component Analysis for Spatial Data

Description Details Author(s)


A new regularization approach to estimate the leading spatial patterns via smoothness and sparseness penalties, and spatial predctions for spatial data that may be irregularly located in space (including 1D, 2D and 3D), and obtain the spatial prediction at the designated locations.


Package: SpatPCA
Type: Package
Date: 2018-02-20
License: GPL version 2 or newer


Wen-Ting Wang <[email protected]> and Hsin-Cheng Huang <[email protected]>

SpatPCA documentation built on Feb. 21, 2018, 1:02 a.m.