Description
Summary
- What does this package do? (explain in 50 words or less):
Client to work with CMIP data - downscaled climate and hydrology projections. Package lists avail. files, downloads and caches, and reads into raster objects.
- Paste the full DESCRIPTION file inside a code block below:
Package: cmipr
Type: Package
Title: Client for Coupled Model Intercomparison Project (CMIP) Data
Description: Client for Coupled Model Intercomparison Project (CMIP) data
(<http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/>).
Data is stored on an FTP server, from which we provide
functions to fetch data and return tidy data.
Version: 0.0.8.9310
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "[email protected]")
License: MIT + file LICENSE
URL: https://github.com/ropenscilabs/cmipr
BugReports: https://github.com/ropenscilabs/cmipr/issues
VignetteBuilder: knitr
Imports:
hoardr (>= 0.0.3),
raster (>= 2.5-8),
ncdf4 (>= 1.15),
curl (>= 2.3),
crul (>= 0.2.1.9100),
tibble
Suggests:
roxygen2 (>= 6.0.1),
testthat,
knitr,
covr
RoxygenNote: 6.0.1
Remotes: ropensci/crul, ropensci/hoardr
- URL for the package (the development repository, not a stylized html page):
https://github.com/ropenscilabs/cmipr
- Who is the target audience?
People using climate projections for research - or studying climate change itself.
- Are there other R packages that accomplish the same thing? If so, what is different about yours?
https://github.com/JGCRI/RCMIP5 deals with CMIP data, but AFAICT only handles data after you have it on your machine. So that package and this one could be used together.
Requirements
Confirm each of the following by checking the box. This package:
- does not violate the Terms of Service of any service it interacts with.
- has a CRAN and OSI accepted license.
- contains a README with instructions for installing the development version.
- includes documentation with examples for all functions.
- contains a vignette with examples of its essential functions and uses.
- has a test suite.
- has continuous integration with Travis CI and/or another service.
Publication options
- Do you intend for this package to go on CRAN?
- Do you wish to automatically submit to the Journal of Open Source Software? If so:
- The package contains a
paper.md
with a high-level description in the package root or ininst/
. - The package is deposited in a long-term repository with the DOI:
- (Do not submit your package separately to JOSS)
- The package contains a
Detail
-
Does
R CMD check
(ordevtools::check()
) succeed? Paste and describe any errors or warnings: -
Does the package conform to rOpenSci packaging guidelines? Please describe any exceptions:
-
If this is a resubmission following rejection, please explain the change in circumstances:
-
If possible, please provide recommendations of reviewers - those with experience with similar packages and/or likely users of your package - and their GitHub user names:
maybe https://github.com/bpbond since author of the above mentioned pkg