Manipulate Time Series of Palaeoclimate Reconstructions • pastclim

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.

CHELSA paths have changed

The paths to the CHELSA datasets have changed. Until we get the fix to CRAN, you will need to use the dev version of pastclim to access the new paths. The dev version is available from the r-universe repository of the Evolutionary Ecology Group. You can install it with:

install.packages("pastclim", repos = c("https://evolecolgroup.r-universe.dev")

Install the library

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")

Overview of functionality

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.

Getting help

There are two places to get help with pastclim:

If you are unsure how to do something, go to StackOverflow and, after checking that a similar question has not been asked yet, tag your question with terra and r (there is no pastclim tag yet, as there aren’t enough questions), and make sure pastclim is in the title. This will ensure that the developers see your question and can help you. If you have not received an answer after a couple of days, feel free to drop us an email in case we missed your post.
If you think you have found a bug, or have a feature request, please open an issue on our [GitHub repository]((https://github.com/EvolEcolGroup/pastclim/issues). Before doing so, please make sure that you have installed the latest development version of pastclim (as the bug might have already been fixed), as well as updating all other packages on your system. If the problem persists, and there is no issue already opened that deals with your bug, file a new issue providing a reproducible example for the developers to investigate the problem. A small reproducible example is crucial in allowing us to understand the problem and fix it, so please do your best to come up with the shortest bit of code needed to show the bug.