Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Semivariogram matrices"'
Publikováno v:
Applied Computing and Geosciences, Vol 8, Iss , Pp 100044- (2020)
Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. H
Externí odkaz:
https://doaj.org/article/234c407dd7d542b88ff84edaea66b10f
Publikováno v:
Applied Computing and Geosciences 8(2020), 100044
Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4577::eae466aaec8c552c5006ff5a83684bc3
https://www.hzdr.de/publications/Publ-31922-1
https://www.hzdr.de/publications/Publ-31922-1
Publikováno v:
Applied Computing and Geosciences, Vol 8, Iss, Pp 100044-(2020)
Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dce934ba09f18ae801863de0f9afe897
https://doi.org/10.1016/j.acags.2020.100044
https://doi.org/10.1016/j.acags.2020.100044