Interface to 'Zonation' for Reproducible Prioritization Workflows

An interface to 'Zonation' software, enabling users to run spatial conservation prioritization workflows in 'R'. It streamlines input preparation, execution, and post-processing, while supporting reproducibility and lowering the entry barrier for learning, teaching, and research in conservation planning. The methods implemented in 'Zonation' are described in Moilanen et al. (2022) .

ZonationR

Overview

ZonationR is an R package that provides a seamless interface to the Zonation software, enabling users to execute spatial conservation prioritization workflows directly from R.

The package is designed to:

Support learning and teaching by lowering the entry barrier for R users exploring Zonation.
Streamline workflows by automating input preparation, execution, and post-processing.
Enable reproducibility through transparent script-based workflows that remain fully consistent with the original Zonation software.

Traditionally, Zonation workflows require manual input preparation, running the software via GUI or command line, and separate post-processing in R or GIS. ZonationR simplifies this process by integrating all steps into R, enabling transparent and automated workflows.

Features

Automated generation of Zonation input files from R.
Execution of Zonation 5 directly from R scripts.
Post-processing of Zonation outputs, including raster maps and summary tables.
Support for reproducible teaching examples and research workflows.

Installation

You can install ZonationR from CRAN:

install.packages("ZonationR")

Or install the development version from GitHub:

# Install pak if not already installed
if (!requireNamespace("pak", quietly = TRUE)) {
  install.packages("pak")
}

# Install ZonationR from GitHub
pak::pak("thiago-cav/ZonationR")

Load the package:

library(ZonationR)

Documentation

For detailed documentation, tutorials, and example workflows, see the ZonationR website.

Contributing

Contributions of any kind are warmly welcomed! These can include improvements to the documentation, testthat tests, vignettes, or new functions. If you have an idea for a new feature, please reach out so we can discuss it.

Pull requests to the master branch need confirmation and a code review from the package maintainers. We recommend using the pull request helpers from the usethis package, which are part of our workflow.

We also use GitHub Actions for continuous integration, so please make sure the package passes R CMD check without errors or warnings before submitting a pull request.