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 
[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-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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=HiClimR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.