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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 |
| DOI: |
10.32614/CRAN.package.GWnnegPCA |
| 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:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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