Summary

• What does this package do? (explain in 50 words or less):

This R package is an open source project designed to facilitate non-programmatic access to a variety of online open data sources: the Global Runoff Data Center (GRDC), the Scottish Environment Protection Agency (SEPA), the Top-Down modelling Working Group (Data60UK and MOPEX), Met Office Hadley Centre Observation Data (HadUKP Data) and NASA's Tropical Rainfall Measuring Mission (TRMM).

• Paste the full DESCRIPTION file inside a code block below:

Package: hddtools
Type: Package
Title: Hydrological Data Discovery Tools
Version: 0.3.0
Date: 2016-09-05
Authors@R: c(person("Claudia", "Vitolo", email = "[email protected]", role = c("aut", "cre")))
Maintainer: Claudia Vitolo <[email protected]>
URL: https://github.com/cvitolo/hddtools/
BugReports: https://github.com/cvitolo/hddtools/issues
Description: Facilitates discovery and handling of hydrological data, non-programmatic access to catalogues and databases.
Depends:
    R (>= 3.0.2)
Imports: zoo, sp, RCurl, XML, rnrfa, Hmisc, raster, stringr
Suggests: testthat
License: GPL-3
Repository: CRAN
RoxygenNote: 5.0.1

• URL for the package (the development repository, not a stylized html page):

https://github.com/cvitolo/hddtools/

• Who is the target audience?

Hydrologists, environmental scientists and practitioners.

• Are there other R packages that accomplish the same thing? If so, what is different about yours?

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 in inst/.
  • The package is deposited in a long-term repository with the DOI:
    http://dx.doi.org/10.5281/zenodo.61570

Detail

• Does R CMD check (or devtools::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:

@masalmon