Package: optimLanduse
Title: Robust Land-Use Optimization
Version: 1.2.1
Authors@R: 
    c(
    person(given = "Kai",
           family = "Husmann",
           role = c("aut", "cre"),
           email = "kai.husmann@uni-goettingen.de",
           comment = c(ORCID = "0000-0003-2970-4709")),
    person(given = "Volker",
           family = "von Groß",
           role = "aut",
           email = "volker.vongross@uni-goettingen.de",
           comment = c(ORCID = "0000-0001-7372-0066")),
    person(given = "Jasper",
           family = "Fuchs",
           role = "aut",
           email = "jasper.fuchs@uni-goettingen.de",
           comment = c(ORCID = "0000-0001-5951-7897")),
    person(given = "Kai",
           family = "Bödeker",
           role = "aut",
           email = "kai.boedeker@tum.de",
           comment = c(ORCID = "0000-0002-5307-5108")),
    person(given = "Carola",
           family = "Paul",
           role = "aut",
           email = "carola.paul@uni-goettingen.de",
           comment = c(ORCID = "0000-0002-6257-2026")),
    person(given = "Thomas",
           family = "Knoke",
           role = "aut",
           email = "knoke@tum.de",
           comment = c(ORCID = "0000-0003-0535-5946")),
   person("Goettingen University - Forest Economics and Sustainable Land-use Planning",
           role=c("cph", "fnd")),
   person("TUM School of Life Sciences - Forest Management",
           role=c("cph", "fnd"))
           )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
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
URL: https://github.com/Forest-Economics-Goettingen/optimLanduse/
NeedsCompilation: no
Packaged: 2024-02-21 14:59:14 UTC; khusman1
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>
Repository: CRAN
Date/Publication: 2024-02-21 15:10:02 UTC
Built: R 4.6.0; ; 2026-04-29 23:19:18 UTC; unix
