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 |
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 Mavericks binaries: | r-release: osc_1.0.0.tgz, r-oldrel: osc_1.0.0.tgz |
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