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: 4.0.1
Depends: R (≥ 3.4.0), raster, sp, proto
Imports: utils, methods, assertthat (≥ 0.2.0), data.table, uuid, Matrix, igraph, ape, rgeos, plyr, parallel, doParallel, magrittr, tibble (≥ 1.4.2)
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat, knitr, roxygen2, shiny, xtable, rhandsontable, RandomFields, velox, maptools, PBSmapping, spdep, gurobi, lpsymphony, Rsymphony, rmarkdown, prioritizrdata
Published: 2018-05-26
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
Publication Record
Salt Spring Island Tutorial
Tasmania Tutorial
Management Zones
Package source: prioritizr_4.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: prioritizr_4.0.1.tgz, r-oldrel: prioritizr_4.0.1.tgz
Old sources: prioritizr archive


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