prioritizr.net valid
prioritizr
Hanson JO, Schuster R, Strimas‐Mackey M, Morrell N, Edwards BPM,
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://prioritizr.net/llms.txt
- Sections
- 129
- Links
- 287
- Size
- 55829 bytes
- Registered
- 2018-05-20
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T05:54:12.749Z
- Last checked
- 2026-10-25T05:54:13.467Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T05:54:12.755Z. Cached copy · Source on prioritizr.net
# prioritizr
## Systematic Conservation Prioritization in R
The *prioritizr R* package uses mixed integer linear programming (MILP)
techniques to provide a flexible interface for building and solving
conservation planning problems. It supports a broad range of objectives,
constraints, and penalties that can be used to custom-tailor
conservation planning problems to the specific needs of a conservation
planning exercise. Once built, conservation planning problems can be
solved using a variety of commercial and open-source exact algorithm
solvers. In contrast to the algorithms conventionally used to solve
conservation problems, such as heuristics or simulated annealing, the
exact algorithms used here are guaranteed to find optimal solutions.
Furthermore, conservation problems can be constructed to optimize the
spatial allocation of different management actions or zones, meaning
that conservation practitioners can identify solutions that benefit
multiple stakeholders. Finally, this package has the functionality to
read input data formatted for the *Marxan* conservation planning
program, and find much cheaper solutions in a much shorter period of
time than *Marxan*.
[](https://www.youtube.com/watch?v=c7XgODGr9lE)
## Installation
#### Official version
The latest official version of the *prioritizr R* package can be
installed from the [Comprehensive R Archive Network
(CRAN)](https://cran.r-project.org/) using the following *R* code.
``` r
install.packages("prioritizr", repos = "https://cran.rstudio.com/")
```
#### Developmental version
The latest development version can be installed to gain access to new
functionality that is not yet present in the latest official version.
Please note that the developmental version is more likely to contain
coding errors than the official version. To install the developmental
version, you can install it directly from the [GitHub online code
repository](https://github.com/prioritizr/prioritizr) or from the [R
Universe](https://prioritizr.r-universe.dev/prioritizr). In general, we
recommend installing the developmental version from the [R
Universe](https://prioritizr.r-universe.dev/prioritizr). This is because
installation via [R
Universe](https://prioritizr.r-universe.dev/prioritizr) does not require
any additional software (e.g.,
[RTools](https://cran.r-project.org/bin/windows/Rtools/) for Windows
systems, or [Xcode and gfortran](https://mac.r-project.org/tools/) for
macOS systems).
- To install the latest development version from [R
Universe](https://prioritizr.r-universe.dev/prioritizr), use the
following *R* code.
``` r
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