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HiClimR
View on CRAN: Click
here
Download and install HiClimR package within the R console
Install from CRAN:
install.packages("HiClimR")
Install from Github:
library("remotes")
install_github("cran/HiClimR")
Install by package version:
library("remotes")
install_version("HiClimR", "2.2.1")
Attach the package and use:
library("HiClimR")
Maintained by
Hamada S. Badr
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.HiClimR . https://github.com/hsbadr/HiClimR/issues . https://hsbadr.github.io/HiClimR/ . https://github.com/hsbadr/HiClimR . HiClimR citation info . HiClimR results . HiClimR.pdf . HiClimR_2.2.1.tar.gz . HiClimR_2.2.1.zip . HiClimR_2.2.1.zip . HiClimR_2.2.1.zip . HiClimR_2.2.1.tgz . HiClimR_2.2.1.tgz . HiClimR_2.2.1.tgz . HiClimR_2.2.1.tgz . HiClimR_2.2.1.tgz . HiClimR_2.2.1.tgz . HiClimR archive . https://CRAN.R-project.org/package=HiClimR .
First Published: 2014-05-07
Latest Update: 2022-01-20
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, 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) .
How to cite:
Hamada S. Badr (2014). HiClimR: Hierarchical Climate Regionalization. R package version 2.2.1, https://cran.r-project.org/web/packages/HiClimR. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0.9 (2014-05-07 19:26), 1.1.0 (2014-05-16 01:12), 1.1.1 (2014-07-14 23:33), 1.1.2 (2014-07-27 08:10), 1.1.3 (2014-08-28 20:02), 1.1.4 (2014-09-02 13:01), 1.1.5 (2014-11-13 08:06), 1.1.6 (2015-03-02 00:21), 1.2.0 (2015-03-27 21:05), 1.2.1 (2015-05-24 18:56), 1.2.2 (2015-07-22 05:32), 1.2.3 (2015-08-06 07:15), 2.1.1 (2019-01-03 17:20), 2.1.3 (2019-01-11 10:20), 2.1.4 (2019-01-20 21:40), 2.1.5 (2019-12-10 18:20), 2.1.6 (2020-02-22 11:40), 2.1.7 (2020-11-05 13:50), 2.1.8 (2021-01-05 19:10), 2.1.9 (2021-04-02 17:10), 2.2.0 (2021-05-31 14:20)
Other packages that cited HiClimR R package
View HiClimR citation profile
Other R packages that HiClimR depends,
imports, suggests or enhances
Complete documentation for HiClimR
Functions, R codes and Examples using
the HiClimR R package
Some associated functions: HiClimR . HiClimR2nc . TestCase . WorldMask . coarseR . fastCor . geogMask . grid2D . minSigCor . validClimR .
Some associated R codes: HiClimR.R . HiClimR2nc.R . coarseR.R . fastCor.R . geogMask.R . grid2D.R . minSigCor.R . validClimR.R . Full HiClimR package functions and examples
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