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osc (version 1.0.0)

Orthodromic Spatial Clustering

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).

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Version

Install

install.packages('osc')

Monthly Downloads

202

Version

1.0.0

License

GPL

Maintainer

Steffen Kriewald

Last Published

May 10th, 2016

Functions in osc (1.0.0)

exampledata

Example data for the clustering algorithm.
coordinate.list

List of coordinates for clustering
assign.data

Assign data to clusters
cca

City Clustering Algorithm (CCA)
osc.buffer

Simple Buffer algorithm
population

Example population data for the city clustering algorithm
landcover

Fictional landcover data to demonstrate the cca for Raster-Data