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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, < https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.

Build Status AppVeyor Build Status codecov DOI CRAN_Status_Badge Project Status: Active – The project has reached a stable, usable state and is being actively developed. JOSS status

Author/Maintainer: Adam Sparks

The getCRUCLdata package provides functions that automate importing CRU CL v. 2.0 climatology data into R, facilitate the calculation of minimum temperature and maximum temperature, and formats the data into a tidy data frame as a tibble::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 (CRU), https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt.

Changes to original CRU CL v. 2.0 data

This package automatically converts elevation values from kilometres to metres.

This package crops all spatial outputs to an extent of ymin = -60, ymax = 85, xmin = -180, xmax = 180. Note that the original wind data include land area for parts of Antarctica.

Quick Start

Install

Stable version

A stable version of getCRUCLdata is available from CRAN.

install.packages("getCRUCLdata")

Development version

A development version is available from from GitHub. If you wish to install the development version that may have new features (but also may not work properly), install the devtools package, available from CRAN. I strive to keep the master branch on GitHub functional and working properly, although this may not always happen.

if (!require("remotes")) {
  install.packages("remotes")
}
 
install_github("ropensci/getCRUCLdata", build_vignettes = TRUE)

Documentation

For complete documentation see the package website: https://ropensci.github.io/getCRUCLdata/

Meta

CRU CL v. 2.0 reference and abstract

A high-resolution data set of surface climate over global land areas Climate Research, 2000, Vol 21, pg 1-25

  1. School of Geography and the Environment, University of Oxford, Mansfield Road, Oxford OX1 3TB, United Kingdom
  2. Climatic Research Unit, and (3) Tyndall Centre for Climate Change Research, both at School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, United Kingdom
  3. International Water Management Institute, PO Box 2075, Colombo, Sri Lanka

ABSTRACT: We describe the construction of a 10-minute latitude/longitude data set of mean monthly surface climate over global land areas, excluding Antarctica. The climatology includes 8 climate elements - precipitation, wet-day frequency, temperature, diurnal temperature range, relative humidity,sunshine duration, ground frost frequency and windspeed - and was interpolated from a data set of station means for the period centred on 1961 to 1990. Precipitation was first defined in terms of the parameters of the Gamma distribution, enabling the calculation of monthly precipitation at any given return period. The data are compared to an earlier data set at 0.5 degrees latitude/longitude resolution and show added value over most regions. The data will have many applications in applied climatology, biogeochemical modelling, hydrology and agricultural meteorology and are available through the School of Geography Oxford (http://www.geog.ox.ac.uk), the International Water Management Institute “World Water and Climate Atlas” (http://www.iwmi.org) and the Climatic Research Unit (http://www.cru.uea.ac.uk).

Contributors

Other

  • Please report any issues or bugs.

  • License: MIT

  • Get citation information for getCRUCLdata in R typing citation(package = "getCRUCLdata")

  • Please note that the getCRUCLdata project is released with a Contributor Code of Conduct. By participating in the getCRUCLdata project you agree to abide by its terms.

ropensci

News

getCRUCLdata 0.2.5

Minor changes

  • Removes startup message, instead placing information in CITATION file

  • Reorganises internal functions consolidating functions all in a single file and following a standard naming scheme for all internal functions

getCRUCLdata 0.2.4

Bug fixes

Minor changes

  • Fix documentation formatting issues

  • Enhance stop messages for user, just print message, not the function that called it to clarify

getCRUCLdata 0.2.3

Bug fixes

  • Fix missing import for rappdirs

Minor changes

  • Remove the use of plyr in tests

getCRUCLdata 0.2.2

Bug fixes

  • Fix incorrect ORCID entry author field

getCRUCLdata 0.2.1

Minor changes

  • Fix ORCID entry in DESCRIPTION per CRAN maintainer's request

  • Remove Scott as contributor, the code contributed has been removed

getCRUCLdata 0.2.0

Major changes

  • Use hoardr for managing cached files

  • Fixed a bug where the file cache was not in the proper subdirectory. The file cache has moved to the proper location in a R/getCRUCLdata location rather than getCRUCLdata. You may wish to move files externally to R in order to keep them in the cache where the package will find them

  • Use lapply in place of purrr::map, purrr is no longer imported

Minor changes

  • Correct documentation where examples pointed to a non-existent list

Deprecated functions

CRU_cache_list() now superceded bymanage_cache$list() CRU_cache_details() now superceded by manage_cache$details() CRU_cache_delete() now superceded by manage_cache$delete() CRU_cache_delete_all() now superceded by manage_cache$delete_all()

getCRUCLdata 0.1.10

Major changes

  • Add startup message regarding data source, use and citation

  • Include Scott Chamberlain as copyright holder and contributor for file caching functionality

getCRUCLdata 0.1.9

Bug fixes

  • Fix issues in cached file management where files were not properly handled

getCRUCLdata 0.1.8

Bug Fixes

  • Fix bug where cache was not specified in internal function, .set_cache(), this caused either of the functions fetching data from CRU to fail

  • Fix bug where cache directory could not be created on Windows OS machines

  • Fix bug where tmx was returned when either tmn or tmx was requested for data frame, tmn now returned when requested and tmx now returned when requested. Raster stacks were not affected by this bug

Minor Changes

  • Replaced for f in 1:length() with for f in seq_along() for better programming practices

getCRUCLdata 0.1.7

Minor Changes

  • Use file.path in place of paste0

Bug Fixes

  • Fix bug where rappdirs::user_config_dir() was incorrectly used in place of rappdirs::user_cache_dir()

getCRUCLdata 0.1.6

Minor Changes

  • Use purrr in place of plyr functions

  • Update DESCRIPTION file to be more complete

  • Remove use of "%>%" in functions and remove magrittr import

Bug Fixes

  • Fix bugs in CITATION file

  • Format NEWS.md to be more markdown standards compliant

getCRUCLdata 0.1.5

Major Changes

  • create_CRU_stack() and create_CRU_df() now only work with locally available files. If you need to fetch and create a data frame or raster stack of the data, please use the new functions, get_CRU_stack() and get_CRU_stack()

  • R >=3.2.0 now required

  • Data can be cached using either get_CRU_stack() or get_CRU_df() for later use

Minor Changes

  • Improved documentation with examples on mapping and graphing and more detail regarding the data itself

  • Change the method in which files are downloaded to use httr::GET()

  • Ingest data using data.table::fread to decrease the amount of time necessary to run the functions

  • Functions check to see if data file(s) have already been downloaded during current R session, if so data file(s) are not requested for download again

  • Months are returned as a factor object in the tidy data frame

getCRUCLdata 0.1.4

Minor Changes

  • Correct fix bug in data frame object generation where elevation was improperly handled and function would stop

getCRUCLdata 0.1.3

Minor Changes

  • Correct fix bug in raster object generation where the objects were incorrectly cropped

  • Update documentation with ROxygen 6.0.0

  • Minor edits to documentation for clarity

getCRUCLdata 0.1.2

Minor Changes

  • Correct documentation to read that the data resolution is 10 minute, not 10 seconds

  • Correct URLs in DESCRIPTION file

  • Add required version for PURRR

  • Add required version for R

  • Corrected URL pointing to CRU readme.txt file

getCRUCLdata 0.1.1

Minor Changes

  • Renamed to getCRUdata as suggested by CRAN maintainers

  • Revised description file as requested by CRAN maintainers

  • Enhanced vignette

getCRUCL2.0 0.1.0

Minor Changes

  • Initial submission to CRAN

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("getCRUCLdata")

0.2.5 by Adam Sparks, 6 months ago

https://github.com/ropensci/getCRUCLdata, https://ropensci.github.io/getCRUCLdata/

Report a bug at https://github.com/ropensci/getCRUCLdata/issues

Browse source code at https://github.com/cran/getCRUCLdata

Authors: Adam Sparks [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports data.table, dplyr, httr, hoardr, raster, tidyr, tibble, utils

Suggests covr, ggplot2, knitr, readr, rmarkdown, rappdirs, roxygen2, sp, testthat, viridis

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