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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: | 0.1.1 |
Depends: | R (≥ 4.1.0) |
Imports: | glue, httr2, jsonlite, logger |
Suggests: | dplyr, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-07-23 |
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 + file LICENSE |
URL: | https://biodiversity-futures-lab.github.io/predictsr/ |
NeedsCompilation: | no |
Materials: | README, NEWS |
CRAN checks: | predictsr results |
Reference manual: | predictsr.html , predictsr.pdf |
Vignettes: |
Introduction to predictsr (source, R code) |
Package source: | predictsr_0.1.1.tar.gz |
Windows binaries: | r-devel: predictsr_0.1.1.zip, r-release: predictsr_0.1.1.zip, r-oldrel: predictsr_0.1.1.zip |
macOS binaries: | r-release (arm64): predictsr_0.1.1.tgz, r-oldrel (arm64): predictsr_0.1.1.tgz, r-release (x86_64): predictsr_0.1.1.tgz, r-oldrel (x86_64): predictsr_0.1.1.tgz |
Old sources: | predictsr archive |
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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.
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