SteffenKriewald/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

Package details

AuthorSteffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski
MaintainerSteffen Kriewald <[email protected]>
LicenseGPL
Version1.0.5
URL https://www.pik-potsdam.de/~kriewald/osc/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SteffenKriewald/osc")
SteffenKriewald/osc documentation built on Dec. 24, 2019, 7:06 p.m.