osc (1.0.4)

Orthodromic Spatial Clustering.


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).

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

License: GPL

Uses: raster, maps, testthat

Released about 1 year ago.