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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 624.6 kB | win-64/r-hiclimr-2.2.0-r40he816bda_0.tar.bz2  4 years and 11 months ago 814 main
conda 608.6 kB | win-64/r-hiclimr-2.2.0-r41he816bda_0.tar.bz2  4 years and 11 months ago 818 main
conda 601.5 kB | osx-64/r-hiclimr-2.2.0-r40h749f5a1_0.tar.bz2  4 years and 11 months ago 148 main
conda 601.4 kB | osx-64/r-hiclimr-2.2.0-r41h749f5a1_0.tar.bz2  4 years and 11 months ago 150 main
conda 603.2 kB | linux-64/r-hiclimr-2.2.0-r41h859d828_0.tar.bz2  4 years and 11 months ago 3300 main
conda 603.3 kB | linux-64/r-hiclimr-2.2.0-r40h859d828_0.tar.bz2  4 years and 11 months ago 3308 main

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