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: 5.0.2
Depends: R (≥ 3.5.0), raster, sp, sf (≥ 0.8-0), proto
Imports: utils, methods, assertthat (≥ 0.2.0), data.table, uuid, Matrix, igraph, ape, rgeos, plyr, parallel, doParallel, magrittr, exactextractr (≥ 0.2.0), fasterize (≥ 1.0.2), tibble (≥ 2.0.0)
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat, knitr, roxygen2, shiny, scales, xtable, rhandsontable, RandomFields, maptools, PBSmapping, gurobi, lpsymphony, Rsymphony, rmarkdown, prioritizrdata
Published: 2020-07-30
Author: Jeffrey O Hanson ORCID iD [aut], Richard Schuster ORCID iD [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey ORCID iD [aut], Matthew E Watts [aut], Peter Arcese ORCID iD [aut], Joseph Bennett ORCID iD [aut], Hugh P Possingham ORCID iD [aut]
Maintainer: Richard Schuster <richard.schuster at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Language: en-US
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_5.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: prioritizr_5.0.2.tgz, r-oldrel: prioritizr_5.0.2.tgz
Old sources: prioritizr archive


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