GWnnegPCA: Geographically Weighted Non-Negative Principal Components Analysis

Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses <doi:10.17608/k6.auckland.9850826.v1>.

Version:	0.0.4
Depends:	R (≥ 3.5.0)
Imports:	sp, sf, pracma, geodist, nsprcomp, methods, spData
Published:	2020-11-18
Author:	Narumasa Tsutsumida [aut, cre]
Maintainer:	Narumasa Tsutsumida <rsnaru.jp at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
SystemRequirements:	C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Language:	en-US
Materials:	README
CRAN checks:	GWnnegPCA results

Documentation:

Reference manual:

GWnnegPCA.pdf

Downloads:

Package source:	GWnnegPCA_0.0.4.tar.gz
Windows binaries:	r-devel: GWnnegPCA_0.0.4.zip, r-release: GWnnegPCA_0.0.4.zip, r-oldrel: GWnnegPCA_0.0.4.zip
macOS binaries:	r-release (arm64): GWnnegPCA_0.0.4.tgz, r-oldrel (arm64): GWnnegPCA_0.0.4.tgz, r-release (x86_64): GWnnegPCA_0.0.4.tgz, r-oldrel (x86_64): GWnnegPCA_0.0.4.tgz
Old sources:	GWnnegPCA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GWnnegPCA to link to this page.