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multiscape  

Multi-Objective Spatial Planning
View on CRAN: Click here


Download and install multiscape package within the R console
Install from CRAN:
install.packages("multiscape")

Install from Github:
library("remotes")
install_github("cran/multiscape")

Install by package version:
library("remotes")
install_version("multiscape", "1.0.7")



Attach the package and use:
library("multiscape")
Maintained by
José Salgado-Rojas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-28
Latest Update: 2026-04-30
Description:
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>.
How to cite:
José Salgado-Rojas (2026). multiscape: Multi-Objective Spatial Planning. R package version 1.0.7, https://cran.r-project.org/web/packages/multiscape. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-10-12 15:31), 1.0.6 (2026-04-28 20:40), 1.0.7 (2026-04-30 10:30)
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Complete documentation for multiscape
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Full multiscape package functions and examples
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