[aut, cre]Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses (Tsutsumida N. et al., (2019) <doi:10.17608/k6.auckland.9850826.v1>).
| Version: | 0.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | sp, sf, GWmodel, nsprcomp, methods |
| Published: | 2020-07-29 |
| 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 |
| Reference manual: | GWnnegPCA.pdf |
| Package source: | GWnnegPCA_0.0.2.tar.gz |
| Windows binaries: | r-devel: GWnnegPCA_0.0.2.zip, r-release: GWnnegPCA_0.0.2.zip, r-oldrel: GWnnegPCA_0.0.2.zip |
| macOS binaries: | r-release: GWnnegPCA_0.0.2.tgz, r-oldrel: GWnnegPCA_0.0.2.tgz |
| Old sources: | GWnnegPCA archive |
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