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).


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Reference manual

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install.packages("osc")

1.0.4 by Steffen Kriewald, a month ago


https://www.pik-potsdam.de/~kriewald/osc/


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