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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).
Package details |
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Author | Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski |
Maintainer | Steffen Kriewald <kriewald@pik-potsdam.de> |
License | GPL |
Version | 1.0.5 |
URL | https://www.pik-potsdam.de/~kriewald/osc/ |
Package repository | View on CRAN |
Installation |
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