README.md
In naru-T/GWnnegPCA: Geographically Weighted Non-Negative Principal Components Analysis
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
naru-T/GWnnegPCA documentation built on Feb. 7, 2025, 4:45 p.m.
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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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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