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 .


R package of geographically weighted non-negative principal component analysis

Reference

  • Tsutsumida N., Murakami D.,Yoshida T., Nakaya T. Exploring geographically weighted non negative principal component analysis for producing index. The 27th meeting of GIS association of Japan, Tokyo, 20-21 October, 2018 (Japanese), http://www.gisa-japan.org/conferences/proceedings/2018/papers/C52.pdf
  • Tsutsumida N., Murakami D., Yoshida T., Nakaya T., Lu B., and P. Harris. Geographically Weighted Non-negative Principal Component Analysis for Exploring Spatial Variation in Multidimensional Composite Index, Geocomputation 2019. doi: 10.17608/k6.auckland.9850826.v1

Reference manual

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install.packages("GWnnegPCA")

0.0.6 by Narumasa Tsutsumida, 9 months ago


https://github.com/naru-T/GWnnegPCA


Report a bug at https://github.com/naru-T/GWnnegPCA/issues


Browse source code at https://github.com/cran/GWnnegPCA


Authors: Narumasa Tsutsumida [aut, cre] (ORCID:


Documentation:   PDF Manual  


GPL (>= 3) license


Imports geodist, methods, nsprcomp, sf

Suggests testthat

System requirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)


See at CRAN