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optimLanduse: Robust Land-Use Optimization

Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1016/j.jenvman.2020.110248>.

Version: 1.2.1
Imports: lpSolveAPI (≥ 5.5.2.0-17.7), tidyr (≥ 1.1.2), dplyr (≥ 1.0.0), future (≥ 1.28.0), future.apply (≥ 1.9.0)
Suggests: readxl, ggplot2
Published: 2024-02-21
Author: Kai Husmann ORCID iD [aut, cre], Volker von Groß ORCID iD [aut], Jasper Fuchs ORCID iD [aut], Kai Bödeker ORCID iD [aut], Carola Paul ORCID iD [aut], Thomas Knoke ORCID iD [aut], Goettingen University - Forest Economics and Sustainable Land-use Planning [cph, fnd], TUM School of Life Sciences - Forest Management [cph, fnd]
Maintainer: Kai Husmann <kai.husmann at uni-goettingen.de>
License: MIT + file LICENSE
URL: https://github.com/Forest-Economics-Goettingen/optimLanduse/
NeedsCompilation: no
Citation: optimLanduse citation info
Materials: README NEWS
CRAN checks: optimLanduse results

Documentation:

Reference manual: optimLanduse.pdf

Downloads:

Package source: optimLanduse_1.2.1.tar.gz
Windows binaries: r-devel: optimLanduse_1.2.1.zip, r-release: optimLanduse_1.2.1.zip, r-oldrel: optimLanduse_1.2.1.zip
macOS binaries: r-release (arm64): optimLanduse_1.2.1.tgz, r-oldrel (arm64): optimLanduse_1.2.1.tgz, r-release (x86_64): optimLanduse_1.2.1.tgz, r-oldrel (x86_64): optimLanduse_1.2.1.tgz
Old sources: optimLanduse archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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