osc: 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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Install

install.packages('osc')

Monthly Downloads

165

Version

1.0.5

License

GPL

Last Published

December 19th, 2019

Functions in osc (1.0.5)