osc: 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).

Version: 1.0.5
Depends: methods, raster, R (≥ 2.14)
Suggests: testthat, maps
Published: 2019-12-19
DOI: 10.32614/CRAN.package.osc
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]
URL: https://www.pik-potsdam.de/~kriewald/osc/
NeedsCompilation: yes
Materials: README
CRAN checks: osc results


Reference manual: osc.pdf
Vignettes: Using the City Clustering Algorithm


Package source: osc_1.0.5.tar.gz
Windows binaries: r-devel: osc_1.0.5.zip, r-release: osc_1.0.5.zip, r-oldrel: osc_1.0.5.zip
macOS binaries: r-release (arm64): osc_1.0.5.tgz, r-oldrel (arm64): osc_1.0.5.tgz, r-release (x86_64): osc_1.0.5.tgz, r-oldrel (x86_64): osc_1.0.5.tgz
Old sources: osc archive


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