Package: HiClimR
Version: 2.1.4
Title: Hierarchical Climate Regionalization
Author: Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
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, 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.
License: GPL (>= 2)
URL: https://github.com/hsbadr/HiClimR
BugReports: https://github.com/hsbadr/HiClimR/issues
Maintainer: Hamada S. Badr <badr@jhu.edu>
Depends: R (>= 2.10)
Imports: graphics, grDevices, stats, utils, ncdf4
Suggests: devtools, knitr, rmarkdown, roxygen2
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 6.1.1
LazyData: yes
LazyLoad: yes
ByteCompile: yes
NeedsCompilation: yes
SystemRequirements: NetCDF (>= 4.1)
Packaged: 2019-01-20 20:11:51 UTC; hbadr1
Repository: CRAN
Date/Publication: 2019-01-20 20:40:02 UTC
