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
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
Old sources: classInt archive

Reverse dependencies:

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

Linking:

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