redlistr
redlistr: Tools for the IUCN Red List of Ecosystems and Species
Science Score: 33.0%
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○codemeta.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com, wiley.com, plos.org -
✓Committers with academic emails
3 of 5 committers (60.0%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (12.4%) to scientific vocabulary
Last synced: 10 months ago
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redlistr: Tools for the IUCN Red List of Ecosystems and Species
Basic Info
Statistics
- Stars: 35
- Watchers: 7
- Forks: 7
- Open Issues: 8
- Releases: 0
Created over 10 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
License
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
- Name: IUCN Red List of Ecosystems Science Team
- Login: red-list-ecosystem
- Kind: organization
- Location: UNSW | Deakin | Yale | JCU
- Website: http://iucnrle.org/
- Repositories: 23
- Profile: https://github.com/red-list-ecosystem
GitHub Events
Total
- Watch event: 2
- Member event: 1
Last Year
- Watch event: 2
- Member event: 1
Committers
Last synced: 11 months ago
Top Committers
| Name | 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 (Top 20 + Academic)
deakin.edu.au: 2
ucl.ac.uk: 1
Issues and Pull Requests
Last synced: 11 months ago
All Time
- 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 requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- calvinkflee (5)
- jrfep (2)
- nick-murray (2)
- maelle (1)
- AMBarbosa (1)
- gdamasco (1)
- rsbivand (1)
- Filhomn (1)
Pull Request Authors
- calvinkflee (4)
- johnWilshire (2)
Top Labels
Issue Labels
enhancement (4)
bug (1)
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- cran 226 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 6
- Total maintainers: 1
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
- License: GPL (≥ 3) | file LICENSE
-
Latest release: 1.0.4
published almost 3 years ago
Rankings
Forks count: 10.1%
Stargazers count: 11.3%
Average: 29.1%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Downloads: 58.7%
Maintainers (1)
Last synced:
over 1 year ago
conda-forge.org: r-redlistr
- Homepage: https://github.com/red-list-ecosystem/redlistr
- License: GPL-3.0-or-later
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Latest release: 1.0.3
published almost 4 years ago
Rankings
Stargazers count: 44.8%
Average: 46.1%
Forks count: 47.4%
Last synced:
10 months ago
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