Movatterモバイル変換


[0]ホーム

URL:


predictsr: Access the 'PREDICTS' Biodiversity Database

Fetches the 'PREDICTS' database and relevant metadata from the Data Portal at the Natural History Museum, London <https://data.nhm.ac.uk>. Data were collated from over 400 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from sites around the world. These data are described in Hudson et al. (2013) <doi:10.1002/ece3.2579>.

Version:0.2.0
Depends:R (≥ 4.1.0)
Imports:digest,glue,httr2,jsonlite,logger
Suggests:dplyr,knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-11-28
DOI:10.32614/CRAN.package.predictsr
Author:Connor Duffin [aut, cre], The Trustees of The Natural History Museum, London [cph]
Maintainer:Connor Duffin <connor.p.duffin at gmail.com>
License:MIT + fileLICENSE
URL:https://biodiversity-futures-lab.github.io/predictsr/,https://github.com/Biodiversity-Futures-Lab/predictsr
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:predictsr results

Documentation:

Reference manual:predictsr.html ,predictsr.pdf
Vignettes:Introduction to predictsr (source,R code)

Downloads:

Package source: predictsr_0.2.0.tar.gz
Windows binaries: r-devel:predictsr_0.2.0.zip, r-release:predictsr_0.2.0.zip, r-oldrel:predictsr_0.2.0.zip
macOS binaries: r-release (arm64):predictsr_0.2.0.tgz, r-oldrel (arm64):predictsr_0.2.0.tgz, r-release (x86_64):predictsr_0.2.0.tgz, r-oldrel (x86_64):predictsr_0.2.0.tgz
Old sources: predictsr archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=predictsrto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp