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, different clustering methods, hybrid hierarchical clustering, multi-variate clustering (MVC), cluster validation, and visualization of region maps.
|Author||Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]|
|Date of publication||2015-08-06 07:15:42|
|Maintainer||Hamada S. Badr <email@example.com>|
|License||GPL (>= 2)|
coarseR: Coarsening spatial resolution for gridded data
fastCor: Fast correlation for large matrices
geogMask: Geographic mask from longitude and latitute
grid2D: Generate longitude and latitude grid matrices
HiClimR: Hierarchical Climate Regionalization
minSigCor: Minimum significant correlation for a sample size
TestCase: Test Data for Functionality Demonstration of 'HiClimR'...
validClimR: Validation of Hierarchical Climate Regionalization
WorldMask: World Mask for Geographic Masking in HiClimR