https://github.com/prioriactions/prioriactions
Multi-action conservation planning
https://github.com/prioriactions/prioriactions
conservation conservation-plan optimization prioritization rpackage threats
Last synced: 8 months ago
JSON representation
Multi-action conservation planning
- Host: GitHub
- URL: https://github.com/prioriactions/prioriactions
- Owner: prioriactions
- Created: 2021-06-04T14:05:42.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2024-09-18T19:06:39.000Z (over 1 year ago)
- Last Synced: 2025-10-22T03:56:32.024Z (8 months ago)
- Topics: conservation, conservation-plan, optimization, prioritization, rpackage, threats
- Language: R
- Homepage: https://prioriactions.github.io/prioriactions/
- Size: 39.9 MB
- Stars: 11
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.Rmd
- Contributing: CONTRIBUTING.Rmd
Awesome Lists containing this project
- Awesome-Geospatial - prioriactions - The prioriactions R package uses a mixed integer mathematical programming (MIP) approach for building and solving multi-action conservation planning problems, where the goal is to find an optimal combination of management actions that abate threats, in an efficient way while accounting for connectivity. (Spatial Optimization)
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# Multi-Action Conservation Planning 
[](https://lifecycle.r-lib.org/articles/stages.html#stable)
[](https://github.com/prioriactions/prioriactions/actions)
**This project was financed by the National Agency of Research and Development, ANID, Chile, through the grant FONDECYT N.1180670 and through the Complex Engineering Systems Institute PIA/BASAL AFB180003. Also it has received funding from the European Union’s H2020 research and innovation program under the Marie Sklodowska-Curie grant agreement N.691149 (SuFoRun).**
## Overview
The `prioriactions` package allows you to create and solve conservation planning problems that involve multiple threats and actions. This uses techniques of integer linear programming (ILP), obtaining optimal solutions or with a certain degree of guaranteed quality (gap). Due to its flexibility, the package offers the possibility of creating different mathematical models with multiple requirements (spatial, budget requirements, etc.). All the included models are presented in detail in Salgado-Rojas et al. (2020). The package has a variety of commercial and open-source exact algorithm solvers that guarantee to find optimal solutions.
## Installation
Package `prioriactions` can be found at CRAN, where it is updated every few months. Installation from CRAN can be done via:
```{r, eval = FALSE}
install.packages("prioriactions")
```
Also, the latest development version of `prioriactions` can be installed from [GitHub](https://github.com/prioriactions/prioriactions/) using the following code (If you are using Windows, it is necessary to install [Rtools](https://cran.r-project.org/bin/windows/Rtools/) beforehand).
```{r, eval = FALSE}
if (!require(remotes)) install.packages("remotes")
remotes::install_github("prioriactions/prioriactions")
```
## Usage
You can browse the package documentation online at
.
If this is your first time using `prioriactions`, we strongly recommend reading the
[Introduction to prioriactions](https://prioriactions.github.io/prioriactions/articles/prioriactions.html)
vignette.
If you believe you've found a bug in `prioriactions`, please file a bug (and, if
possible, a [reproducible example](https://reprex.tidyverse.org)) at
.
## References
+ Salgado-Rojas J, Alvarez-Miranda E, Hermoso V, Garcia-Gonzalo J, Weintraub A. _A mixed integer programming approach for multi-action planning for threat management_. Ecological Modelling 2020; 418:108901. DOI: .