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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 |
DOI: | 10.32614/CRAN.package.optimLanduse |
Author: | Kai Husmann [aut, cre], Volker von Groß [aut], Jasper Fuchs [aut], Kai Bödeker [aut], Carola Paul [aut], Thomas Knoke [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 |
Reference manual: | optimLanduse.pdf |
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 |
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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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