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.
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