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, contiguity-constrained clustering, 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, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.

Version: 2.2.1
Depends: R (≥ 2.10)
Imports: graphics, grDevices, stats, utils, ncdf4
Suggests: covr, devtools, knitr, rmarkdown, roxygen2, spelling, testthat
Published: 2022-01-20
DOI: 10.32614/CRAN.package.HiClimR
Author: Hamada S. Badr ORCID iD [aut, cre], Benjamin F. Zaitchik ORCID iD [aut], Amin K. Dezfuli ORCID iD [aut]
Maintainer: Hamada S. Badr <badr at jhu.edu>
BugReports: https://github.com/hsbadr/HiClimR/issues
License: GPL-3
URL: https://hsbadr.github.io/HiClimR/, https://github.com/hsbadr/HiClimR
NeedsCompilation: yes
SystemRequirements: NetCDF (>= 4.1)
Language: en-US
Citation: HiClimR citation info
Materials: README NEWS
CRAN checks: HiClimR results


Reference manual: HiClimR.pdf
Vignettes: Bug Reporting


Package source: HiClimR_2.2.1.tar.gz
Windows binaries: r-devel: HiClimR_2.2.1.zip, r-release: HiClimR_2.2.1.zip, r-oldrel: HiClimR_2.2.1.zip
macOS binaries: r-release (arm64): HiClimR_2.2.1.tgz, r-oldrel (arm64): HiClimR_2.2.1.tgz, r-release (x86_64): HiClimR_2.2.1.tgz, r-oldrel (x86_64): HiClimR_2.2.1.tgz
Old sources: HiClimR archive

Reverse dependencies:

Reverse imports: erah, imsig, wTO


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