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osmextract · Issue #395 · ropensci/software-review · GitHub

Submitting Author: Andrea Gilardi (@agila5)
Repository: https://github.com/ITSLeeds/osmextract
Version submitted: 0.1.0
Editor: @annakrystalli
Reviewer 1: @potterzot
Reviewer 2: @salvafern
Archive: TBD
Version accepted: TBD

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

Package: osmextract
Type: Package
Title: Download and Read OpenStreetMap Data Extracts
Version: 0.1.0
Authors@R: c(
    person("Andrea", "Gilardi", email = "a.gilardi5@campus.unimib.it", role=c("aut", "cre"),
      comment = c(ORCID = "0000-0002-9424-7439")),
    person("Robin", "Lovelace", role = c("aut"),
      comment = c(ORCID = "0000-0001-5679-6536")),
    person("Barry", "Rowlingson", role=c("ctb"),
      comment = c(ORCID = "0000-0002-8586-6625"))
    )
Description: This package is used to download, convert and read Open Street
    Map data extracts downloaded from several providers. 
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)
URL: https://github.com/itsleeds/osmextract
BugReports: https://github.com/itsleeds/osmextract/issues
Depends: R (>= 3.5.0)
Imports: 
    sf (>= 0.8.1),
    utils,
    tools
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    covr
VignetteBuilder: knitr

• 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
  • 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):

osmextract is for accessing and downloading OpenStreetMap data from a variety (current 2) of providers. OpenStreetMap has numerous scientific applications, including in transport, ecological analysis of human impacts on the environment, spatial statistics and land use change and the package provides a way of extracting the unstructure compressed .pbf files into modern geographic data structures (sf data frames).

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

The target audience is researchers, practitioners and citizens who want to use OpenStreetMap data for scientific research, especially people who require large datasets (from city to continental scale) for their work.

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

osmdata provides an R interface to the Overpass API, which is ideal for downloading small OSM datasets. However, the API is rate limited, making it hard to download large datasets.

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

We believe the package complies with ethical guidelines in the Internet Research: Ethical Guidelines 3.0 document.
It makes it easier for researchers to access and make use of data that is already in the public domain, under the conditions of the adhering to the conditions of the OdBL.

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

Confirm each of the following by checking the box.

• I have read the guide for authors and rOpenSci packaging guide.

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 using services such as Travis CI, Coveralls and/or CodeCov.

• Do you intend for this package to go on CRAN?
• Do you intend for this package to go on Bioconductor?
• Do you wish to automatically submit to the Journal of Open Source Software? If so:

• The package has an obvious research application according to JOSS's definition.
  • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
  • The package is deposited in a long-term repository with the DOI:
  • (Do not submit your package separately to JOSS)

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

• The package is novel and will be of interest to the broad readership of the journal.
• The manuscript describing the package is no longer than 3000 words.
• You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
• (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no guarantee that your manuscript will be within MEE scope.)
• (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
• (Please do not submit your package separately to Methods in Ecology and Evolution)

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

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