osc (1.0.5)

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Orthodromic Spatial Clustering.


Allows distance based spatial clustering of georeferenced data by implementing the City Clustering Algorithm - CCA. Multiple versions allow clustering for a matrix, raster and single coordinates on a plain (Euclidean distance) or on a sphere (great-circle or orthodromic distance).

Maintainer: Steffen Kriewald
Author(s): Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski

License: GPL

Uses: raster, maps, testthat

Released about 1 month ago.

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