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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