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).

Version: 1.0.0
Depends: raster, R (≥ 2.14)
Suggests: testthat
Published: 2016-05-10
Author: Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski
Maintainer: Steffen Kriewald <kriewald at pik-potsdam.de>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
CRAN checks: osc results

Downloads:

Reference manual: osc.pdf
Vignettes: Using the City Clustering Algorithm
Package source: osc_1.0.0.tar.gz
Windows binaries: r-devel: osc_1.0.0.zip, r-release: osc_1.0.0.zip, r-oldrel: osc_1.0.0.zip
OS X El Capitan binaries: r-release: osc_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: osc_1.0.0.tgz

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