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).


Reference manual

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1.0.4 by Steffen Kriewald, a month ago


Browse source code at https://github.com/cran/osc

Authors: Steffen Kriewald , Till Fluschnik , Dominik Reusser , Diego Rybski

Documentation:   PDF Manual  

GPL license

Depends on raster

Suggests testthat, maps

See at CRAN