HiClimR

Hierarchical Climate Regionalization

A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking (by continents, regions, or countries), data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multi-variate clustering (MVC), cluster validation, and visualization of region maps.

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Description file content

Package
HiClimR
Version
1.2.3
Date
2015-08-05
Title
Hierarchical Climate Regionalization
Author
Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
Maintainer
Hamada S. Badr
URL
Depends
R (>= 2.10)
Imports
graphics, grDevices, stats, utils
License
GPL (>= 2)
Description
A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking (by continents, regions, or countries), data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multi-variate clustering (MVC), cluster validation, and visualization of region maps.
Packaged
2015-08-05 19:56:30 UTC; hsbadr
LazyData
yes
LazyLoad
yes
ByteCompile
yes
NeedsCompilation
yes
Repository
CRAN
Date/Publication
2015-08-06 07:15:42

install.packages('HiClimR')

1.2.3

02 years ago

https://github.com/hsbadr/HiClimR

Hamada S. Badr

GPL (>= 2)

Depends on

R (>= 2.10)

Imports

graphics, grDevices, stats, utils

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