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).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.5 by Steffen Kriewald, a year 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 methods, raster

Suggests testthat, maps

See at CRAN