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).
- Version1.0.5
- R version≥ 2.14
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release12/19/2019
Documentation
Team
Steffen Kriewald
Till Fluschnik
Dominik Reusser
Diego Rybski
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