The goal of tidysdm is to implement Species Distribution Models using the tidymodels framework. The advantage of tidymodels is that the model syntax and the results returned to the user are standardised, thus providing a coherent interface to modelling. Given the variety of models required for SDM, tidymodels is an ideal framework. tidysdm provides a number of wrappers and specialised functions to facilitate the fitting of SDM with tidymodels.
Besides modelling contemporary species, tidysdm has a number of functions specifically designed to work with palaeontological data.
Whilst users are free to use their own environmental data, the articles showcase the potential integration with pastclim, which helps downloading and manipulating present day data, future predictions, and palaeoclimate reconstructions.
An overview of the capabilities of tidysdm is given in Leonardi et al. (2023).
Installation
tidysdm is on CRAN, and the easiest way to install it is with:
install.packages("tidysdm")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 tidysdm directly from GitHub. To install from GitHub, you will need to use devtools; if you haven’t done so already, get it from CRAN with install.packages("devtools").
You can install the latest dev version of tidysdm from r-universe with:
install.packages("tidysdm", repos = c("https://evolecolgroup.r-universe.dev",
"https://cloud.r-project.org"))Alternatively, you can also use devtools and install the package from source, but you might need to set up your development environment first:
# install.packages("devtools")
devtools::install_github("EvolEcolGroup/tidysdm", ref = "dev")Overview of functionality
On its dedicated website, you can find Articles giving you a step-by-step overview of the fitting SDMs to contemporary species, as well as an equivalent tutorial for using palaeontological data. Furthermore, there is an Article with examples of how to leverage various features of tidymodels that are not commonly adopted in SDM pipelines
There is also a dev version of the site updated for the dev branch of tidysdm (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). If you want to contribute, make sure to read our contributing guide.
When something does not work
What should you do if you get an error when trying to fit a model? tidysdm is a relatively new package, so it might well be that, when you get an error, you might have encountered a bug. However, it is also possible that you have misspecified your model (and so the error comes from tidymodels, because your model is not valid). We have prepared an Article on how to diagnose failing models. It is not a fully comprehensive list of everything that could go wrong, but it will hopefully give you ideas on how to dig deeper in what is wrong. You should also check the issues on GitHub to see whether the problem has already been reported.
If you are convinced that the problem is a bug in tidysdm, feel free to create an new issue. Please make sure you have updated to the latest version of tidysdm, as well as updating all other packages on your system, and provide a reproducible example for the developers to investigate the problem. If you think you can help with fixing that bug, read our contributing guide.