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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.

copied from cf-post-staging / r-hiclimr
Type Size Name Uploaded Downloads Labels
conda 609.2 kB | win-64/r-hiclimr-2.1.5-r36h17ddedb_0.tar.bz2  6 years and 5 months ago 1167 main cf202003
conda 585.2 kB | osx-64/r-hiclimr-2.1.5-r35h384270c_0.tar.bz2  6 years and 5 months ago 364 main cf202003
conda 607.7 kB | win-64/r-hiclimr-2.1.5-r35h17ddedb_0.tar.bz2  6 years and 5 months ago 1162 main cf202003
conda 586.5 kB | osx-64/r-hiclimr-2.1.5-r36h384270c_0.tar.bz2  6 years and 5 months ago 353 main cf202003
conda 588.3 kB | linux-64/r-hiclimr-2.1.5-r36h9bbef5b_0.tar.bz2  6 years and 5 months ago 4312 main cf202003
conda 591.4 kB | linux-64/r-hiclimr-2.1.5-r35h9bbef5b_0.tar.bz2  6 years and 5 months ago 4327 main cf202003

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