osc: Orthodromic Spatial Clustering

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).

AuthorSteffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski
Date of publication2016-05-10 19:05:05
MaintainerSteffen Kriewald <kriewald@pik-potsdam.de>
LicenseGPL
Version1.0.0

View on CRAN

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.