Hierarchical Climate Regionalization
Coarsening spatial resolution for gridded data
Fast correlation for large matrices
Geographic mask from longitude and latitude
Generate longitude and latitude grid matrices
Hierarchical Climate Regionalization
Export NetCDF-4 file for Hierarchical Climate Regionalization
Minimum significant correlation for a sample size
Validation of Hierarchical Climate Regionalization
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>.
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