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.

Version: 1.2.3
Depends: R (≥ 2.10)
Imports: graphics, grDevices, stats, utils
Published: 2015-08-06
Author: Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
Maintainer: Hamada S. Badr <badr at jhu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/hsbadr/HiClimR
NeedsCompilation: yes
Citation: HiClimR citation info
Materials: README
CRAN checks: HiClimR results


Reference manual: HiClimR.pdf
Package source: HiClimR_1.2.3.tar.gz
Windows binaries: r-devel: HiClimR_1.2.3.zip, r-release: HiClimR_1.2.3.zip, r-oldrel: HiClimR_1.2.3.zip
OS X El Capitan binaries: r-release: HiClimR_1.2.3.tgz
OS X Mavericks binaries: r-oldrel: HiClimR_1.2.3.tgz
Old sources: HiClimR archive

Reverse dependencies:

Reverse imports: baitmet, erah


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