getCRUCLdata: Use and Explore CRU CL v. 2.0 Climatology Elements in R

Provides functions that automate downloading and importing University of East Anglia Climate Research Unit (CRU) CL v. 2.0 climatology data into R, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a tidy data frame as a tibble or a list of raster stack objects for use in an R session. CRU CL v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arcminutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <>.

Version: 0.2.5
Depends: R (≥ 3.2.0)
Imports: data.table, dplyr, httr, hoardr, raster, tidyr, tibble, utils
Suggests: covr, ggplot2, knitr, readr, rmarkdown, rappdirs, roxygen2 (≥ 6.1.0), sp, testthat, viridis
Published: 2018-09-12
Author: Adam Sparks ORCID iD [aut, cre]
Maintainer: Adam Sparks <adamhsparks at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: getCRUCLdata citation info
Materials: README NEWS
CRAN checks: getCRUCLdata results


Reference manual: getCRUCLdata.pdf
Vignettes: getCRUCLdata
Package source: getCRUCLdata_0.2.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: getCRUCLdata_0.2.5.tgz, r-oldrel: getCRUCLdata_0.2.5.tgz
Old sources: getCRUCLdata archive


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