Package: USE 0.1.6
USE: Uniform Sampling of the Environmental Space
Provides functions for uniform sampling of the environmental space, designed to assist species distribution modellers in gathering ecologically relevant pseudo-absence data. The method ensures balanced representation of environmental conditions and helps reduce sampling bias in model calibration. Based on the framework described by Da Re et al. (2023) <doi:10.1111/2041-210X.14209>.
Authors:
USE_0.1.6.tar.gz
USE_0.1.6.zip(r-4.7)USE_0.1.6.zip(r-4.6)USE_0.1.6.zip(r-4.5)
USE_0.1.6.tgz(r-4.6-any)USE_0.1.6.tgz(r-4.5-any)
USE_0.1.6.tar.gz(r-4.7-any)USE_0.1.6.tar.gz(r-4.6-any)
USE_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
USE/json (API)
| # Install 'USE' in R: |
| install.packages('USE', repos = c('https://danddr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/danddr/use/issues
Pkgdown/docs site:https://danddr.github.io
- Worldclim_tmp - A subset of WorldClim bioclimatic variables
environmentsampling-methodsspecies-distribution-modellinguniform
Last updated from:8732c2dd25. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 157 | ||
| source / vignettes | OK | 231 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 125 | ||
| macos-oldrel-arm64 | OK | 174 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 94 | ||
| windows-oldrel | OK | 82 | ||
| wasm-release | OK | 126 |
Exports:optimRespaSamplingprincompCustomrastPCASpatialProbathresh.inspectuniformSampling
Dependencies:classclassIntclicowplotcpp11DBIe1071farverFNNggplot2gluegtableisobandkernlabKernSmoothkslabelinglatticelifecycleMASSMatrixmclustmgcvmulticoolmvtnormnlmepracmaproxyR6RColorBrewerRcpprlangs2S7scalessfterraunitsvctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get optimal resolution of the sampling grid | optimRes |
| Sampling pseudo-absences for the training and testing datasets. | paSampling |
| Principal Component Analysis for Rasters | rastPCA |
| Virtual species probability of occurrence | SpatialProba |
| Inspect the effect of the kernel threshold parameter on the environmental space partitioning | thresh.inspect |
| Uniform sampling of the environmental space | uniformSampling |
| A subset of WorldClim bioclimatic variables | Worldclim_tmp |
