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>.
Package details |
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Author | Kai Husmann [aut, cre] (<https://orcid.org/0000-0003-2970-4709>), Volker von Groß [aut] (<https://orcid.org/0000-0001-7372-0066>), Jasper Fuchs [aut] (<https://orcid.org/0000-0001-5951-7897>), Kai Bödeker [aut] (<https://orcid.org/0000-0002-5307-5108>), Carola Paul [aut] (<https://orcid.org/0000-0002-6257-2026>), Thomas Knoke [aut] (<https://orcid.org/0000-0003-0535-5946>), 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@uni-goettingen.de> |
License | MIT + file LICENSE |
Version | 1.2.1 |
URL | https://github.com/Forest-Economics-Goettingen/optimLanduse/ |
Package repository | View on CRAN |
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