Date accepted: 2021-09-27
Submitting Author: Erika Gonzalez-Akre (@gonzalezeb)
Other Authors: Camille Piponiot (@cpiponiot), Mauro Lepore (@maurolepore), Kristina Teixeira (@teixeirak)
Repository: https://github.com/forestgeo/allodb
Version submitted: 0.0.0.9000
Editor: @adamhsparks
Reviewers: @jeffreyhanson, @jstillh

Due date for @jstillh: 2021-06-24
Archive: TBD
Version accepted: TBD

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

Package: allodb
Title: Tree Biomass Estimation at Extratropical Forest Plots
Version: 0.0.0.9000
Authors@R: 
    c(person(given = "Erika",
             family = "Gonzalez-Akre",
             role = c("aut", "cre", "cph"),
             email = "[email protected]"),
      person(given = "Camille",
             family = "Piponiot",
             role = "aut",
             email = "[email protected]"),
      person(given = "Mauro",
             family = "Lepore",
             role = "aut",
             email = "[email protected]",
             comment = c(ORCID = "0000-0002-1986-7988")),
      person(given = "Kristina",
             family = "Anderson-Teixeira",
             role = "aut",
             email = "[email protected]"))
Description: Tool to standardize and simplify the tree biomass
    estimation process across globally distributed extratropical forests.
License: GPL-3
URL: https://github.com/forestgeo/allodb
BugReports: https://github.com/forestgeo/allodb/issues
Depends: 
    R (>= 3.5.0)
Imports: 
    data.table (>= 1.12.8),
    ggplot2 (>= 3.3.2),
    kgc (>= 1.0.0.2),
    utils
Suggests: 
    covr (>= 3.2.1),
    knitr (>= 1.21),
    purrr,
    rmarkdown,
    spelling,
    testthat (>= 3.0.0)
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1

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
  • 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):
  allodb integrates compiled data and built-in functions to calculate tree above-ground biomass (AGB) which is a critical value used by forest ecologists to estimate the amount of carbon sequester and resealed by forests. allodb falls in the "field and laboratory reproducibility tools" category as our package intents to improve and standardize the calculation of a widely used forest metric.

• Who is the target audience and what are scientific applications of this package?
  allodb is designed to be used by forest ecologists with basic or advanced knowledge of R. This scientific application is intended to be used by individuals interested in calculating forest metrics such as AGB in extratropical forest (subtropical, temperate, and boreal forests).

• Are there other R packages that accomplish the same thing? If so, how does yours differ or meet our criteria for best-in-category?
  The BIOMASS package is designed to estimate biomass in tropical forest. The main difference between allodb and BIOMASS is the set of equations used to estimate AGB. There is an existing calibrated equation used globally for tropical environments but not for areas outside the tropics. Our goal is to provide a set of curated equations and the ability to add new and additional equations in order to have a more reliable value of AGB outside the tropics. We do not duplicate any functionality of the BIOMASS package and only agree on the ecological scope.

• (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 enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.
  @melvidoni or issue 427

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This package:

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• includes documentation with examples for all functions, created with roxygen2.
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