multiscape: Multi-Action, Multi-Objective Spatial Planning

Provides a modular framework for exact multi-objective spatial planning using mixed-integer programming. The package supports the definition of planning problems through planning units, features, management actions, action effects, spatial relations, targets, constraints, and objective functions. It enables the optimisation of spatial planning portfolios under considerations such as boundary structure, connectivity, and fragmentation. Supported multi-objective methods include weighted-sum aggregation, epsilon-constraint, and the augmented epsilon-constraint method. Problems can be solved with several commercial and open-source optimisation solvers. Optional solver backends include the 'gurobi' R package, which is distributed with the Gurobi Optimizer installation <https://docs.gurobi.com/projects/optimizer/en/13.0/reference/r/setup.html>, and the 'rcbc' R package, available from GitHub at <https://github.com/dirkschumacher/rcbc>. For background on multi-objective optimisation methods, see Halffmann et al. (2022) <doi:10.1002/mcda.1780>; for the augmented epsilon-constraint method, see Mavrotas (2009) <doi:10.1016/j.amc.2009.03.037>.

Version: 1.4.2
Depends: R (≥ 4.1.0)
Imports: assertthat (≥ 0.2.0), Matrix, proto, magrittr, dplyr, Rcpp, cli, sf, methods, RANN, exactextractr, ggplot2, terra, ggrepel, lifecycle, moocore
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.1.0.0), BH
Suggests: roxygen2, prioritizr, Rsymphony (≥ 0.1-31), Rcplex, slam, rlang, testthat (≥ 3.0.0), withr, raster, tmap, sp, viridis, markdown, data.table, purrr, readr, tibble, reshape2, rcbc, gurobi, knitr, rmarkdown
Published: 2026-10-12
DOI: 10.32614/CRAN.package.multiscape
Author: José Salgado-Rojas ORCID iD [aut, cre], Matías Moreno-Faguett ORCID iD [aut], Victoria Madrid-Ayala ORCID iD [aut], Sara Pineda-Zapata ORCID iD [aut], Núria Aquilué ORCID iD [aut]
Maintainer: José Salgado-Rojas <jose.salgroj at gmail.com>
BugReports: https://github.com/josesalgr/multiscape/issues
License: GPL (≥ 3)
URL: https://josesalgr.github.io/multiscape/
NeedsCompilation: yes
Language: en-US
Materials: README, NEWS
CRAN checks: multiscape results

Documentation:

Reference manual: multiscape.html , multiscape.pdf
Vignettes: Multi-objective forest restoration planning in a highly productive landscape (source, R code)
Joint effects and interactions between management actions (source, R code)
Planning with concurrent management actions (source, R code)
Repeated calls and alternative problem configurations (source, R code)
Choosing a multi-objective optimisation method (source, R code)
From reserve selection to multi-objective conservation planning (source, R code)

Downloads:

Package source: multiscape_1.4.2.tar.gz
Windows binaries: r-devel: multiscape_1.0.7.zip, r-release: multiscape_1.0.7.zip, r-oldrel: multiscape_1.0.7.zip
macOS binaries: r-release (arm64): multiscape_1.0.7.tgz, r-oldrel (arm64): multiscape_1.4.2.tgz, r-release (x86_64): multiscape_1.4.2.tgz, r-oldrel (x86_64): multiscape_1.4.2.tgz
Old sources: multiscape archive

Linking:

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