prioritizr: Systematic Conservation Prioritization in R

Conservation prioritization using integer programming techniques. To solve large-scale problems, users should install the 'gurobi' optimizer (available from <>).

Version: 3.0.3
Depends: R (≥ 3.3.2), raster, sp
Imports: utils, methods, proto, assertthat, data.table, uuid, Matrix, rgeos, plyr, parallel, doParallel, magrittr
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat, knitr, roxygen2, ape, shiny, xtable, rhandsontable, RandomFields, velox, maptools, PBSmapping, spdep, gurobi, lpsymphony, Rsymphony, rmarkdown
Published: 2017-11-22
Author: Jeffrey O Hanson [aut], Richard Schuster [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey [aut], Matthew E Watts [aut], Peter Arcese [aut], Joeseph Bennett [aut], Hugh P Possingham [aut]
Maintainer: Richard Schuster <mail at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: prioritizr results


Reference manual: prioritizr.pdf
Vignettes: Gurobi Installation Guide
Prioritizr Basics
Prioritizr Publication Record
Prioritizr Quick Start Guide
Package source: prioritizr_3.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: prioritizr_3.0.3.tgz
OS X Mavericks binaries: r-oldrel: prioritizr_3.0.3.tgz
Old sources: prioritizr archive

Reverse dependencies:

Reverse suggests: prioritizrdata


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