redlistr

An R package that contains a set of tools suitable for calculating the metrics required for making assessments of species and ecosystems against the IUCN Red List of Threatened Species and the IUCN Red List of Ecosystems categories and criteria.
https://github.com/red-list-ecosystem/redlistr

Category: Biosphere
Sub Category: Biodiversity Analysis and Metrics

Last synced: about 8 hours ago
JSON representation

Repository metadata

redlistr: Tools for the IUCN Red List of Ecosystems and Species

README.Rmd

          ---
output: github_document
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

# redlistr

`redlistr` is an R package that contains a set of tools suitable for calculating
the metrics required for making assessments of species and ecosystems against
the IUCN Red List of Threatened Species and the IUCN Red List of Ecosystems
categories and criteria.The paper describing `redlistr` has been published on
Ecography and is available
[here](https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.04143).

> important note: [rredlist](https://github.com/ropensci/rredlist) is a
different package that works with the IUCN Red List of Threatened Species' API.

## Overview
The `redlistr` package was developed to assist users conduct assessments for the
IUCN Red List of Ecosystems in `R`. It is also useful for users interested in
conducting assessments for the Red List of Threatened Species. Assessments of
ecosystems under the IUCN Red List of Ecosystems criteria require calculation of
standardised metrics that were developed to objectively assess risk to ecosystem
([Keith et al. 2013](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0062111)).
This package was designed to assist in the calculation of these metrics, 
including two methods of calculating the rate of distirbutional decline: 
Absolute Rate of Decline (ARD) and Proportional Rate of Decline (PRC). An 
additional metric: the Annual Rate of Change (ARC), which uses a compound 
interest law to determine the instantaenous rate of change ([Puyravaud 2003](https://www.sciencedirect.com/science/article/pii/S0378112702003353)) is
also included.

Also included are the two standard measures of the size of an 
ecosystems' geographic distribution specified in the red list of ecosystems
guidelines ([Bland et al. 2016](https://portals.iucn.org/library/sites/library/files/documents/2016-010.pdf)).
These are the Extent of Occurrence (EOO) and Area of Occupancy (AOO). As many of
these measures are also useful for assessing species under the IUCN Red List of
Threatened Species criteria, we expect this package will also be useful for
assessors conducting species assessments.

In conducting an assessment with this package, we assume that you are familiar 
with IUCN red listing protocols. In particular, you should consult the IUCN 
guidelines for both of the red lists, which are the definitive sources of all 
information required to ensure consistent application of IUCN criteria ([Bland et al. 2016](https://portals.iucn.org/library/sites/library/files/documents/2016-010.pdf)).
In addition, the papers by Keith et al.
([2013](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0062111))
and Rodriguez et al.
([2015](https://doi.org/10.1098/rstb.2014.0003))
are particularly useful for navigating the IUCN Red List of Ecosystems criteria.
A range of important resources, including software tools and guiding material is
available on the IUCN Red List of Ecosystems 
[website](https://www.iucnrle.org/). There is also plenty of handy material for 
assessing species available on the IUCN Red List of Threatened Species 
[website](https://www.iucnredlist.org).

We also assume that you are reasonably familiar with the `R` programming
language, and have some experience in conducting analyses of vector and raster
data within the `R` environment. Of particular use will be familiarity with the
`raster`, `sp` and `rgeos` packages. This is certainly not a prerequisite, but
this package is built upon many of the functions available in these three
packages.

For a more detailed tutorial explaining how to use this package, please refer to
the 'Calculating spatial metrics for IUCN red list assessments' vignette
available with the package.

Lastly, this is a work in progress and we aim to continually add new functions
to newer versions of package. Suggestions are welcomed, as are offers for
collaborative development.

## Installation
`redlistr` is now on CRAN! You can also install the development version from GitHub.
```{r, eval = FALSE}
# Easiest way to get redlistr:
install.packages("redlistr")

# For the development version from GitHub:
# install.packages("devtools")
devtools::install_github("red-list-ecosystem/redlistr")
```

        

Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 246
Total Committers: 5
Avg Commits per committer: 49.2
Development Distribution Score (DDS): 0.374

Commits in past year: 28
Committers in past year: 1
Avg Commits per committer in past year: 28.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Calvin Lee c****e@d****u 154
Calvin Lee k****e@d****u 61
Nick Murray m****k@g****m 27
zcbtkfc k****2@u****k 3
= j****e@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 14
Total pull requests: 6
Average time to close issues: 3 months
Average time to close pull requests: about 13 hours
Total issue authors: 8
Total pull request authors: 2
Average comments per issue: 1.36
Average comments per pull request: 0.67
Merged pull request: 5
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/red-list-ecosystem/redlistr

Top Issue Authors

  • calvinkflee (5)
  • jrfep (2)
  • nick-murray (2)
  • maelle (1)
  • gdamasco (1)
  • rsbivand (1)
  • AMBarbosa (1)
  • Filhomn (1)

Top Pull Request Authors

  • calvinkflee (4)
  • johnWilshire (2)

Top Issue Labels

  • enhancement (4)
  • bug (1)

Top Pull Request Labels


Package metadata

cran.r-project.org: redlistr

Tools for the IUCN Red List of Ecosystems and Species

  • Homepage: https://github.com/red-list-ecosystem/redlistr
  • Documentation: http://cran.r-project.org/web/packages/redlistr/redlistr.pdf
  • Licenses: GPL (≥ 3) | file LICENSE
  • Latest release: 1.0.4 (published over 1 year ago)
  • Last Synced: 2024-11-29T13:41:47.951Z (5 months ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 226 Last month
  • Rankings:
    • Forks count: 10.051%
    • Stargazers count: 11.325%
    • Average: 29.061%
    • Dependent packages count: 29.797%
    • Dependent repos count: 35.455%
    • Downloads: 58.679%
  • Maintainers (1)
conda-forge.org: r-redlistr

  • Homepage: https://github.com/red-list-ecosystem/redlistr
  • Licenses: GPL-3.0-or-later
  • Latest release: 1.0.3 (published over 2 years ago)
  • Last Synced: 2025-04-02T02:08:55.883Z (29 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 44.805%
    • Average: 46.124%
    • Forks count: 47.444%

Dependencies

DESCRIPTION cran
  • R >= 3.3.0 depends
  • raster >= 2.5 depends
  • sp >= 1.2 depends
  • grDevices * imports
  • methods * imports
  • plyr * imports
  • rgeos * imports
  • devtools * suggests
  • knitr * suggests
  • rgdal * suggests
  • rmarkdown * suggests
  • testthat * suggests

Score: 10.72326738402944