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osc  

Orthodromic Spatial Clustering
View on CRAN: Click here


Download and install osc package within the R console
Install from CRAN:
install.packages("osc")

Install from Github:
library("remotes")
install_github("cran/osc")

Install by package version:
library("remotes")
install_version("osc", "1.0.5")



Attach the package and use:
library("osc")
Maintained by
Steffen Kriewald
[Scholar Profile | Author Map]
First Published: 2016-05-10
Latest Update: 2019-12-19
Description:
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).
How to cite:
Steffen Kriewald (2016). osc: Orthodromic Spatial Clustering. R package version 1.0.5, https://cran.r-project.org/web/packages/osc. Accessed 05 May. 2025.
Previous versions and publish date:
1.0.0 (2016-05-10 19:05), 1.0.4 (2019-03-22 14:30)
Other packages that cited osc R package
View osc citation profile
Other R packages that osc depends, imports, suggests or enhances
Complete documentation for osc
Functions, R codes and Examples using the osc R package
Some associated functions: assign.data . cca . coordinate.list . exampledata . landcover . osc.buffer . population . 
Some associated R codes: cca.R . cca.single.R . code_revised_cca.R . getPart.R .  Full osc package functions and examples
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