osc: Orthodromic Spatial Clustering

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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).

Author
Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski
Date of publication
2016-05-10 19:05:05
Maintainer
Steffen Kriewald <kriewald@pik-potsdam.de>
License
GPL
Version
1.0.0

View on CRAN

Man pages

assign.data
Assign data to clusters
cca
City Clustering Algorithm (CCA)
coordinate.list
List of coordinates for clustering
exampledata
Example data for the clustering algorithm.
landcover
Fictional landcover data to demonstrate the cca for...
osc.buffer
Simple Buffer algorithm
population
Example population data for the city clustering algorithm

Files in this package

osc
osc/inst
osc/inst/doc
osc/inst/doc/paper.rnw
osc/inst/doc/paper.pdf
osc/inst/doc/paper.R
osc/tests
osc/tests/testthat.R
osc/tests/testthat
osc/tests/testthat/test_cca_single.R
osc/tests/testthat/test_coordinate_list.R
osc/tests/testthat/test_cca_multi.R
osc/src
osc/src/cca-core.c
osc/src/ccaRevolution.c
osc/NAMESPACE
osc/data
osc/data/exampledata.rda
osc/data/landcover.rda
osc/data/population.rda
osc/data/datalist
osc/R
osc/R/cca.single.R
osc/R/cca.R
osc/R/getPart.R
osc/R/code_revised_cca.R
osc/vignettes
osc/vignettes/paper.rnw
osc/vignettes/pics
osc/vignettes/pics/fig-concordance.tex
osc/vignettes/pics/landcover.pdf
osc/vignettes/pics/exdat1.pdf
osc/vignettes/pics/exdat2.pdf
osc/vignettes/pics/raster.pdf
osc/vignettes/compare.pdf
osc/MD5
osc/build
osc/build/vignette.rds
osc/DESCRIPTION
osc/man
osc/man/assign.data.Rd
osc/man/cca.Rd
osc/man/landcover.Rd
osc/man/coordinate.list.Rd
osc/man/population.Rd
osc/man/osc.buffer.Rd
osc/man/exampledata.Rd