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.

Version: 2.1.4
Depends: R (≥ 2.10)
Imports: graphics, grDevices, stats, utils, ncdf4
Suggests: devtools, knitr, rmarkdown, roxygen2
Published: 2019-01-20
Author: Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
Maintainer: Hamada S. Badr <badr at jhu.edu>
BugReports: https://github.com/hsbadr/HiClimR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/hsbadr/HiClimR
NeedsCompilation: yes
SystemRequirements: NetCDF (>= 4.1)
Citation: HiClimR citation info
Materials: README
CRAN checks: HiClimR results


Reference manual: HiClimR.pdf
Vignettes: HiClimR Bug Reporting
Package source: HiClimR_2.1.4.tar.gz
Windows binaries: r-devel: HiClimR_2.1.4.zip, r-release: HiClimR_2.1.4.zip, r-oldrel: HiClimR_2.1.3.zip
OS X binaries: r-release: HiClimR_2.1.4.tgz, r-oldrel: HiClimR_1.2.3.tgz
Old sources: HiClimR archive

Reverse dependencies:

Reverse imports: baitmet, imsig


Please use the canonical form https://CRAN.R-project.org/package=HiClimR to link to this page.