CRAN/E | osc

osc

Orthodromic Spatial Clustering

Installation

About

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).

www.pik-potsdam.de/~kriewald/osc/

Key Metrics

Version 1.0.5
R ≥ 2.14
Published 2019-12-19 1589 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks osc results

Downloads

Yesterday 15 +200%
Last 7 days 41 +3%
Last 30 days 154 +10%
Last 90 days 432 -34%
Last 365 days 2.000 -29%

Maintainer

Maintainer

Steffen Kriewald

kriewald@pik-potsdam.de

Authors

Steffen Kriewald
Till Fluschnik
Dominik Reusser
Diego Rybski

Material

README
Reference manual
Package source

Vignettes

Using the City Clustering Algorithm

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

osc archive

Depends

methods
raster
R ≥ 2.14

Suggests

testthat
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