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, and obtain the spatial prediction at the designated locations.


Package: SpatPCA
Type: Package
Date: 2017-03-17
License: GPL version 2 or newer


Wen-Ting Wang <> and Hsin-Cheng Huang <>

SpatPCA documentation built on May 29, 2017, 9:03 a.m.

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