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osc: Orthodromic Spatial Clustering
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).
Getting started
Browse package contents
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 |
Install the latest version of this package by entering the following in R:
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