SpatPCA-package: Regularized Principal Component Analysis for Spatial Data

Description Details Author(s)

Description

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.

Details

Package: SpatPCA
Type: Package
Version: 1.2.0.0
Date: 2018-02-20
License: GPL version 2 or newer

Author(s)

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


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