Description: 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): regridding, coarsening spatial resolution,
geographic masking, data filtering by thresholds, data preprocessing (detrending, standardization,
and PCA), faster correlation function, hybrid hierarchical clustering, and cluster validation.

Description: 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 (by continents, regions, or countries), data filtering by mean and/or variance
thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function
with preliminary big data support, hybrid hierarchical clustering, multi-variate clustering (MVC),
cluster validation, and visualization of region maps.

with preliminary big data support, different clustering methods, hybrid hierarchical clustering,
multi-variate clustering (MVC), cluster validation, and visualization of region maps.

geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance
multivariate clustering (MVC), cluster validation, visualization of regionalization results, and
exporting region map and mean timeseries into NetCDF-4 file.
Imports: graphics, grDevices, stats, utils, ncdf4

Suggests: devtools, knitr, rmarkdown, roxygen2

Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>),
Benjamin F. Zaitchik [aut] (<https://orcid.org/0000-0002-0698-0658>)

The technical details are described in the paper by Hamada S. Badr, Benjamin F. Zaitchik, and
Benjamin F. Zaitchik [aut] (<https://orcid.org/0000-0002-0698-0658>),

The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.
Suggests: covr, devtools, knitr, rmarkdown, roxygen2, spelling,