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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 625.1 kB | win-64/r-hiclimr-2.1.8-r40he816bda_0.tar.bz2  5 years and 4 months ago 940 main
conda 625.6 kB | win-64/r-hiclimr-2.1.8-r36he816bda_0.tar.bz2  5 years and 4 months ago 938 main
conda 601.9 kB | osx-64/r-hiclimr-2.1.8-r40h1a6e9bf_0.tar.bz2  5 years and 4 months ago 272 main
conda 602.5 kB | osx-64/r-hiclimr-2.1.8-r36h1a6e9bf_0.tar.bz2  5 years and 4 months ago 261 main
conda 603.9 kB | linux-64/r-hiclimr-2.1.8-r36h859d828_0.tar.bz2  5 years and 4 months ago 3531 main
conda 603.7 kB | linux-64/r-hiclimr-2.1.8-r40h859d828_0.tar.bz2  5 years and 4 months ago 3530 main

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