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) and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) .


Reference manual

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0.0.4 by Kai Husmann, 9 months ago

Browse source code at

Authors: Kai Husmann [aut, cre] , Volker von Groß [aut] , Jasper Fuchs [aut] , Kai Bödeker [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports lpSolveAPI, tidyr, dplyr

Suggests readxl, ggplot2

See at CRAN