Package: red 1.6.1

red: IUCN Redlisting Tools

Includes algorithms to facilitate the assessment of extinction risk of species according to the IUCN (International Union for Conservation of Nature, see <https://www.iucn.org/> for more information) red list criteria.

Authors:Pedro Cardoso [aut], Vasco V. Branco [cre, aut]

red_1.6.1.tar.gz
red_1.6.1.zip(r-4.7)red_1.6.1.zip(r-4.6)red_1.6.1.zip(r-4.5)
red_1.6.1.tgz(r-4.6-any)red_1.6.1.tgz(r-4.5-any)
red_1.6.1.tar.gz(r-4.7-any)red_1.6.1.tar.gz(r-4.6-any)
red_1.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
red/json (API)

# Install 'red' in R:

install.packages('red', repos = c('https://vascobranco.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vascobranco/red/issues

On CRAN:

biodiversity extinction-risk

4.90 score 1 stars 2 packages 33 scripts 517 downloads 8 mentions 31 exports 136 dependencies

Last updated from:e2f86f8658. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	411
source / vignettes	OK	253
linux-release-x86_64	NOTE	343
macos-release-arm64	NOTE	204
macos-oldrel-arm64	NOTE	211
windows-devel	NOTE	337
windows-release	NOTE	381
windows-oldrel	NOTE	355
wasm-release	OK	160

Exports:aoo countries elevation eoo kml map.draw map.easy map.habitat map.points map.sdm move outliers raster.clean raster.distance raster.east raster.lat raster.long raster.north raster.read raster.reduce records red.examples red.getDir red.setDir red.setup rli rli.map rli.multi rli.predict rli.sampled thin

Dependencies:abind ape BAT bit bit64 boot caret class cli clock cluster clusterGeneration coda codetools combinat cpp11 crayon data.table DEoptim diagram digest dismo doParallel dplyr e1071 expm farver fastcluster fastmatch FNN foreach future future.apply gdistance generics geometry geosphere ggplot2 globals glue gower gtable hardhat hitandrun hms hypervolume igraph ipred isoband iterators jsonlite kernlab KernSmooth ks labeling lattice lava lifecycle linprog listenv lpSolve lubridate magic magrittr maps MASS Matrix mclust mgcv mnormt ModelMetrics multicool mvtnorm nlme nls2 nnet numDeriv optimParallel palmerpenguins parallelly pbapply pdist permute phangorn phytools pillar pkgconfig PlotTools plyr pracma predicts prettyunits pROC prodlim progress progressr proto proxy purrr quadprog R6 raster rbibutils rcdd RColorBrewer Rcpp RcppArmadillo RcppProgress Rdpack recipes reshape2 rlang rpart S7 scales scatterplot3d shape sp sparsevctrs SQUAREM stringi stringr survival terra tibble tidyr tidyselect timechange timeDate TreeTools tzdb utf8 vctrs vegan viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Area of Occupancy (AOO).	aoo
Countries of occurrence.	countries
Elevation limits.	elevation
Extent of Occurrence (EOO).	eoo
Output kml files.	kml
Map creation.	map.draw
Species distributions made easy (multiple species).	map.easy
Map species distribution of habitat specialist.	map.habitat
Map recorded distribution of species.	map.points
Predict species distributions.	map.sdm
Move records to closest non-NA cell.	move
Visual detection of outliers.	outliers
Uniformize raster layers.	raster.clean
Create distance layer.	raster.distance
Create eastness layer.	raster.east
Create latitude layer.	raster.lat
Create longitude layer.	raster.long
Create northness layer.	raster.north
Read and buffer raster layers.	raster.read
Reduce dimensionality of raster layers.	raster.reduce
Download taxon records from GBIF.	records
Example data packaged with red	red.examples
Read GIS directory.	red.getDir
Setup GIS directory.	red.setDir
Download and setup GIS files.	red.setup
Red List Index.	rli
Mapping the Red List Index.	rli.map
Red List Index for multiple groups.	rli.multi
Prediction of Red List Index.	rli.predict
Sampled Red List Index.	rli.sampled
Spatial thinning of occurrence records.	thin