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optimLanduse  

Robust Land-Use Optimization
View on CRAN: Click here


Download and install optimLanduse package within the R console
Install from CRAN:
install.packages("optimLanduse")

Install from Github:
library("remotes")
install_github("cran/optimLanduse")

Install by package version:
library("remotes")
install_version("optimLanduse", "2.0.0")



Attach the package and use:
library("optimLanduse")
Maintained by
Kai Husmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-24
Latest Update: 2024-02-21
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) and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) .
How to cite:
Kai Husmann (2021). optimLanduse: Robust Land-Use Optimization. R package version 2.0.0, https://cran.r-project.org/web/packages/optimLanduse. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.0.4 (2021-02-24 11:30), 1.0.0 (2022-04-08 21:40), 1.1.0 (2022-08-17 09:00), 1.1.2 (2022-11-17 17:50), 1.2.0 (2023-08-31 07:10), 1.2.1 (2024-02-21 16:10)
Other packages that cited optimLanduse R package
View optimLanduse citation profile
Other R packages that optimLanduse depends, imports, suggests or enhances
Complete documentation for optimLanduse
Functions, R codes and Examples using the optimLanduse R package
Some associated functions: autoSearch . calcPerformance . dataPreparation . exampleData . initScenario . solveScenario . 
Some associated R codes: autoSearch.R . calcPerformance.R . dataPreparation.R . examples.R . helper.R . initScenario.R . solveScenario.R .  Full optimLanduse package functions and examples
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