The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=osc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.