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conserveR: Identifying Conservation Prioritization Methods Based on Data Availability

Helping biologists to choose the most suitable approach to link their research to conservation. After answering few questions on the data available, geographic and taxonomic scope, 'conserveR' ranks existing methods for conservation prioritization and systematic conservation planning by suitability. The methods data base of 'conserveR' contains 133 methods for conservation prioritization based on a systematic review of > 12,000 scientific publications from the fields of spatial conservation prioritization, systematic conservation planning, biogeography and ecology.

Version: 1.0.4
Depends: R (≥ 3.5.0)
Imports: cowplot, GGally, ggplot2, ggrepel, magrittr, network, rlang, scales, sna, utils
Published: 2021-08-02
DOI: 10.32614/CRAN.package.conserveR
Author: Alexander Zizka ORCID iD [aut, cre]
Maintainer: Alexander Zizka <alexander.zizka at idiv.de>
BugReports: https://github.com/azizka/conserveR/issues
License: MIT + file LICENSE
URL: https://github.com/azizka/conserveR
NeedsCompilation: no
Language: en-US
Citation: conserveR citation info
Materials: NEWS
CRAN checks: conserveR results

Documentation:

Reference manual: conserveR.pdf

Downloads:

Package source: conserveR_1.0.4.tar.gz
Windows binaries: r-devel: conserveR_1.0.4.zip, r-release: conserveR_1.0.4.zip, r-oldrel: conserveR_1.0.4.zip
macOS binaries: r-release (arm64): conserveR_1.0.4.tgz, r-oldrel (arm64): conserveR_1.0.4.tgz, r-release (x86_64): conserveR_1.0.4.tgz, r-oldrel (x86_64): conserveR_1.0.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=conserveR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.