Date accepted: 2025-01-23

Submitting Author Name: Maëlle Salmon
Submitting Author Github Handle: @maelle
Other Package Authors Github handles: (comma separated, delete if none) @salvafern, @annakrystalli
Repository: https://github.com/EMODnet/emodnet.wfs/
Version submitted: 2.0.2
Submission type: Standard
Editor: @MargaretSiple-NOAA
Reviewers: @robitalec, @LizHareDogs

Archive: TBD
Version accepted: TBD
Language: en

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

Package: emodnet.wfs
Title: Access EMODnet Web Feature Service data through R
Version: 2.0.2
Authors@R: c(
    person("Anna", "Krystalli", , "annakrystalli@googlemail.com", role = "aut",
           comment = c(ORCID = "0000-0002-2378-4915")),
    person("Salvador", "Fernández-Bejarano", , "salvador.fernandez@vliz.be", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-0535-7677")),
    person("Thomas J", "Webb", , "t.j.webb@sheffield.ac.uk", role = "ctb"),
    person("European Marine Observation Data Network (EMODnet) Biology project", "European Commission's Directorate - General for Maritime Affairs and Fisheries (DG MARE)", , "bio@emodnet.eu", role = "cph"),
    person("VLIZ (VLAAMS INSTITUUT VOOR DE ZEE)", , , "info@vliz.be", role = "fnd"),
    person("Maëlle", "Salmon", , "msmaellesalmon@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-2815-0399"))
  )
Description: Access and interrogate EMODnet (European Marine Observation and Data Network) 
    Web Feature Service data through R.
License: MIT + file LICENSE
URL: https://emodnet.github.io/emodnet.wfs/,
    https://github.com/EMODnet/emodnet.wfs
BugReports: https://github.com/EMODnet/emodnet.wfs/issues
Depends: 
    R (>= 3.6.0)
Imports: 
    checkmate,
    cli,
    dplyr,
    lifecycle,
    magrittr,
    memoise,
    ows4R (>= 0.4),
    purrr,
    rlang,
    sf,
    tibble,
    utils,
    whoami
Suggests: 
    covr,
    httptest,
    knitr,
    mapview,
    readr,
    rmarkdown,
    skimr,
    testthat (>= 3.1.2),
    testthis,
    withr
Config/Needs/readme: rerddap
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>=
    4.8.0)
Remotes: 
    eblondel/ows4R

Scope

• Please indicate which category or categories from our package fit policies this package falls under: (Please check an appropriate box below. If you are unsure, we suggest you make a pre-submission inquiry.):

  • data retrieval
  • data extraction
  • data munging
  • data deposition
  • data validation and testing
  • workflow automation
  • version control
  • citation management and bibliometrics
  • scientific software wrappers
  • field and lab reproducibility tools
  • database software bindings
  • geospatial data
  • text analysis

• Explain how and why the package falls under these categories (briefly, 1-2 sentences):

The package allow interrogation of and access to EMODnet’s, European Marine Observation and Data Network, geographic vector data.

• Who is the target audience and what are scientific applications of this package?

The target audience of the package are EMODnet users that might need programmatic access to EMODnet's geographic vector data.
The package allows to include EMODnet vector data into scientific pipelines without needing to manually explore and download data from the EMODnet Geographic Viewer.
The data covers seven disciplinary themes (bathymetry, geology, physics, chemistry, biology, seabed habitats and human activities).

• Are there other R packages that accomplish the same thing? If so, how does yours differ or meet our criteria for best-in-category?

No, to our knowledge emodnet.wfs is the only package that provides access to EMODnet data in R though the EMODnet Web Feature
Services.
The emodnet.wfs package was developed in collaboration with other EMODnet members.

There are in total three ways to access EMODnet data that complement each other and which we documented in emodnet.wfs README:

• Some EMODnet data are also published in an ERDDAP server. One can access these data in R using the rOpenSci rerddap R package.

• This package emodnet.wfs uses Web Feature Services, hence it is limited to getting vector data. EMODnet also hosts raster data that can be accessed via Web Coverage Services (WCS). The R package EMODnetWCS makes these data available in R. We intend to also submit the latter to software review at one point (and we intend to rename it).

• (If applicable) Does your package comply with our guidance around Ethics, Data Privacy and Human Subjects Research?

N/A

• If you made a pre-submission inquiry, please paste the link to the corresponding issue, forum post, or other discussion, or tag the editor you contacted.

• Explain reasons for any pkgcheck items which your package is unable to pass.

Technical checks

Confirm each of the following by checking the box.

• I have read the rOpenSci packaging guide.
• I have read the author guide and I expect to maintain this package for at least 2 years or to find a replacement.

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, created with roxygen2.
• contains a vignette with examples of its essential functions and uses.
• has a test suite.
• has continuous integration, including reporting of test coverage.

Publication options

• Do you intend for this package to go on CRAN?

• Do you intend for this package to go on Bioconductor?

• Do you wish to submit an Applications Article about your package to Methods in Ecology and Evolution? If so:

Code of conduct

• I agree to abide by rOpenSci's Code of Conduct during the review process and in maintaining my package should it be accepted.