exampleData

optimLanduse comes bundled with exemplary data for land-use optimization. The
files can also be found on your computer in the package folder `./extdata`. These examples
provide some quick applications of the package for demonstration and an example of the expected data
structure of the data. Consider also the
<a href="https://github.com/Forest-Economics-Goettingen/optimLanduse/">GitHub project page</a> for
exemplary applications of the package.

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>.

Kai Husmann

optimLanduse

Robust Land-Use Optimization

exampleData function

<dl><dt>fileName</dt>
<dd>Name of the example file. See 'details' section for further explanation of all provided examples.</dd></dl>

Arguments

optimLanduse comes bundled with exemplary data for land-use optimization. The
files can also be found on your computer in the package folder `./extdata`. These examples
provide some quick applications of the package for demonstration and an example of the expected data
structure of the data. Consider also the
<a href='https://github.com/Forest-Economics-Goettingen/optimLanduse/'>GitHub project page</a> for
exemplary applications of the package.

Exemplary data in the required format — exampleData

<dl>

<dt>fileName</dt>
<dd>Name of the example file. See 'details' section for further explanation of all provided examples.</dd>

</dl>

exampleData: Exemplary data in the required format

Description

Usage

Value

Arguments

Details

References

Examples