Allows distance based spatial clustering of georeferenced data by implementing the City Clustering Algorithm - CCA. Multiple versions allow clustering for matrix, raster and single coordinates on a plain (euclidean distance) or on a sphere (great-circle or orthodromic distance).
|Author||Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski|
|Date of publication||2016-05-10 19:05:05|
|Maintainer||Steffen Kriewald <[email protected]>|
|Package repository||View on CRAN|
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