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:10.1007/s10457-020-00519-0>.

Version: 0.0.4
Imports: lpSolveAPI (≥, tidyr (≥ 1.1.2), dplyr (≥ 1.0.0)
Suggests: readxl, ggplot2
Published: 2021-02-24
Author: Kai Husmann [aut, cre], Volker von Groß [aut], Jasper Fuchs [aut], Kai Bödeker [aut]
Maintainer: Kai Husmann <kai.husmann at uni-goettingen.de>
License: MIT + file LICENSE
URL: https://gitlab.gwdg.de/forest_economics_goettingen/optimlanduse
NeedsCompilation: no
Materials: README NEWS ChangeLog
CRAN checks: optimLanduse results


Reference manual: optimLanduse.pdf
Package source: optimLanduse_0.0.4.tar.gz
Windows binaries: r-devel: optimLanduse_0.0.4.zip, r-release: optimLanduse_0.0.4.zip, r-oldrel: optimLanduse_0.0.4.zip
macOS binaries: r-release: optimLanduse_0.0.4.tgz, r-oldrel: optimLanduse_0.0.4.tgz


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