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classInt: Choose Univariate Class Intervals

Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.

Version: 0.4-10
Depends: R (≥ 2.2)
Imports: grDevices, stats, graphics, e1071, class, KernSmooth
Suggests: spData (≥ 0.2.6.2), units, knitr, rmarkdown, tinytest
Published: 2023-09-05
DOI: 10.32614/CRAN.package.classInt
Author: Roger Bivand ORCID iD [aut, cre], Bill Denney ORCID iD [ctb], Richard Dunlap [ctb], Diego Hernangómez ORCID iD [ctb], Hisaji Ono [ctb], Josiah Parry ORCID iD [ctb], Matthieu Stigler ORCID iD [ctb]
Maintainer: Roger Bivand <Roger.Bivand at nhh.no>
BugReports: https://github.com/r-spatial/classInt/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://r-spatial.github.io/classInt/, https://github.com/r-spatial/classInt/
NeedsCompilation: yes
Materials: NEWS ChangeLog
In views: Spatial
CRAN checks: classInt results

Documentation:

Reference manual: classInt.pdf
Vignettes: "Head/Tails breaks"

Downloads:

Package source: classInt_0.4-10.tar.gz
Windows binaries: r-devel: classInt_0.4-10.zip, r-release: classInt_0.4-10.zip, r-oldrel: classInt_0.4-10.zip
macOS binaries: r-release (arm64): classInt_0.4-10.tgz, r-oldrel (arm64): classInt_0.4-10.tgz, r-release (x86_64): classInt_0.4-10.tgz, r-oldrel (x86_64): classInt_0.4-10.tgz
Old sources: classInt archive

Reverse dependencies:

Reverse imports: biscale, bivariatemaps, CAinterprTools, cartography, datamods, ecospat, eurostat, FAOSTAT, GoodmanKruskal, GREENeR, hydroTSM, insurancerating, lidR, mapgl, mapsf, mapStats, noisemodel, oceanis, piecenorms, questionr, ref.ICAR, sf, shar, spatialrisk, stars, synthpop, tidyvpc, tmap, vpc
Reverse suggests: BeeBDC, dlookr, geocmeans, mapmisc, pals, rworldmap, segmetric, spBFA, spBPS, spCP, spdep, womblR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=classInt to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.