The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

prioritizrdata: Conservation Planning Datasets

The prioritizrdata R package is a supplemental package that contains example datasets for conservation planning. It is intended to be used alongside the prioritizr R package.

Overview

This package contains the following datasets.

• Tasmania dataset: Conservation planning dataset for Tasmania, Australia.
• Salt Spring Island dataset: Conservation planning dataset for Tasmania, Australia.
• Washington dataset: Conservation planning dataset for Washington, The United States of America.

Installation

The latest official version of the prioritizrdata R package can be installed using the following R code.

install.packages("prioritizrdata", repos = "https://cran.rstudio.com/")

Alternatively, the latest development version can be installed using the following code. Please note that while developmental versions may contain additional features not present in the official version, they may also contain coding errors.

if (!require(devtools))
  install.packages("devtools")
devtools::install_github("prioritizr/prioritizrdata")

Citation

Please cite the prioritizrdata R package when using it in publications. To cite the latest official version, please use:

Hanson JO, Schuster R, Morrell N, Strimas-Mackey M, Watts ME, Arcese P, Bennett J, Possingham HP (2023). prioritizrdata: Conservation Planning Datasets. R package version 0.3.2. Available at https://CRAN.R-project.org/package=prioritizrdata.

Alternatively, to cite the latest development version, please use:

Hanson JO, Schuster R, Morrell N, Strimas-Mackey M, Watts ME, Arcese P, Bennett J, Possingham HP (2023). prioritizrdata: Conservation Planning Datasets. R package version 0.3.2. Available at https://github.com/prioritizr/prioritizrdata.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.