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: | 1.0.4 |
| Depends: | raster, R (≥ 2.14) |
| Suggests: | testthat, maps |
| Published: | 2019-03-22 |
| 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_1.0.4.tar.gz |
| Windows binaries: | r-devel: osc_1.0.4.zip, r-release: osc_1.0.4.zip, r-oldrel: osc_1.0.4.zip |
| OS X binaries: | r-release: osc_1.0.4.tgz, r-oldrel: osc_1.0.4.tgz |
| Old sources: | osc archive |
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