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Package: osc | ||
Type: Package | ||
Title: Orthodromic Spatial Clustering | ||
Version: 1.0.4 | ||
Date: 2019-03-22 | ||
Depends: raster, R (>= 2.14) | ||
Version: 1.0.5 | ||
Date: 2019-12-19 | ||
Depends: methods, raster, R (>= 2.14) | ||
Suggests: testthat, maps | ||
Author: Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski | ||
Maintainer: Steffen Kriewald <[email protected]> | ||
Description: 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). | ||
Description: 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). | ||
License: GPL | ||
URL: https://www.pik-potsdam.de/~kriewald/osc/ | ||
NeedsCompilation: yes | ||
Packaged: 2019-03-22 10:34:45 UTC; kriewald | ||
Packaged: 2019-12-19 09:40:30 UTC; kriewald | ||
Repository: CRAN | ||
Date/Publication: 2019-03-22 13:30:02 UTC | ||
Date/Publication: 2019-12-19 11:10:02 UTC |
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