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optimLanduse
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", "1.2.1")
Attach the package and use:
library("optimLanduse")
Maintained by
Kai Husmann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.optimLanduse . https://github.com/Forest-Economics-Goettingen/optimLanduse/ . optimLanduse citation info . optimLanduse results . optimLanduse.pdf . optimLanduse_1.2.1.tar.gz . optimLanduse_1.2.1.zip . optimLanduse_1.2.1.zip . optimLanduse_1.2.1.zip . optimLanduse_1.2.1.tgz . optimLanduse_1.2.1.tgz . optimLanduse_1.2.1.tgz . optimLanduse_1.2.1.tgz . optimLanduse_1.2.1.tgz . optimLanduse_1.2.1.tgz . optimLanduse archive . https://CRAN.R-project.org/package=optimLanduse .
First Published: 2021-02-24
Latest Update: 2023-08-31
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 1.2.1, https://cran.r-project.org/web/packages/optimLanduse. Accessed 06 Apr. 2025.
Previous versions and publish date:
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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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