osc: Orthodromic Spatial Clustering
Version 1.0.0

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).

Getting started

Package details

AuthorSteffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski
Date of publication2016-05-10 19:05:05
MaintainerSteffen Kriewald <kriewald@pik-potsdam.de>
Package repositoryView on CRAN
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osc documentation built on May 30, 2017, 1:56 a.m.