This R library is designed to provide an easy way to
extract and manipulate palaeoclimate reconstructions for ecological and
anthropological analyses. It is also able to handle time series of
future reconstructions.
The functionalities of pastclim are described in Leonardi et al. (2023).
Please cite it if you use pastclim in your research.
pastclim is on CRAN, and the easiest way to install it
is with:
install.packages("pastclim")The version on CRAN is recommended for every day use. New features
and bug fixes appear first on the dev branch on GitHub,
before they make their way to CRAN. If you need to have early access to
these new features, you can install the development version of
pastclim directly from GitHub, using devtools,
or more simply get a compiled version from r-universe. Also, note that
the dev version of pastclim tracks changes in
the dev version of terra, so you will need to
upgrade both libraries with:
install.packages('terra', repos='https://rspatial.r-universe.dev')
install.packages("pastclim", repos = c("https://evolecolgroup.r-universe.dev")On its dedicated website, you can
find Articles giving you a step-by-step overview
of the package, and a cheatsheet.
There is also a dev version of
the site updated for the dev branch of
pastclim (on the top left of the dev website, the version
number is in red and in the format x.x.x.9xxx, indicating it is a
development version).
pastclim currently includes data from Beyer et al 2020
(a reconstruction of climate based on the HadCM3 model for the last 120k
years), Krapp et al 2021 (which covers the last 800k years with a
statistical emulator of HadCM3), Barreto et al 2023 (covering the last
5M years using the PALEO-PGEM emulator), PaleoClim (providing a few time
steps from different palaeoclimate models downscaled to higher
resolution), CHELSA-Trace21K (a transient reconstruction of the last 21k
years, downscaled to 1km resolution), the HYDE3.3 database of land use
reconstructions for the last 10k years, and the WorldClim and CHELSA
data (present, and future projections with a number of models and
emission scenarios). More details on each of these datasets can be found
here.
There are also instructions on how to build and use custom
datasets.
If something does not work, check the issues on
GitHub to see whether the problem has already been reported. If not,
feel free to create an new issue. Please make sure you have updated to
the latest version of pastclim on CRAN, as well as updating
all other packages on your system, and provide a reproducible example for the
developers to investigate the problem.