Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
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0.4-11 by Roger Bivand, 2 years ago
https://r-spatial.github.io/classInt/, https://github.com/r-spatial/classInt/
Report a bug at https://github.com/r-spatial/classInt/issues/
Browse source code at https://github.com/cran/classInt
Authors: Roger Bivand [aut, cre] , Bill Denney [ctb] , Richard Dunlap [ctb] , Diego Hernangómez [ctb] , Hisaji Ono [ctb] , Josiah Parry [ctb] , Matthieu Stigler [ctb]
Documentation: PDF Manual
GPL (>= 2) license
Imports grDevices, stats, graphics, e1071, class, KernSmooth
Suggests spData, units, knitr, rmarkdown, tinytest
Imported by CAinterprTools, FAOSTAT, GREENeR, GoodmanKruskal, Saylac, biscale, bivariatemaps, cartography, datamods, deprivateR, ecospat, epiviz, eurostat, greenR, hydroTSM, lidR, mapStats, mapgl, mapsf, necountries, noisemodel, nuggets, piecenorms, questionr, ref.ICAR, sf, sfhotspot, shar, synthpop, tidyvpc, tmap, vpc.
Suggested by BeeBDC, HawaSpatial, catchmentACS, countryatlas, dlookr, geocmeans, insurancerating, mapmisc, pals, rworldmap, segmetric, spBPS, spCP, spNetwork, spatialrisk, spdep, stars, womblR.
See at CRAN