Research Software
Husmann, K.; Lange, A. |
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Flexible optimizer with numerous input specifications for detailed parameterisation. Designed for complex loss functions with state and parameter space constraints. Visualization tools for validation and analysis of the convergence are included. |
Stable version (CRAN) Development version (GitHub) Vignette |
optimLanduse: Robust Land-Use Optimization
Husmann, K.; v. Groß, V.; Fuchs, J.M.; Bödeker, K. |
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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, Nat Commun 7, 11877) and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020, J Environ Manage 261). |
Stable version (CRAN) Development version (GitHub) README |
woodValuationDE: Wood Valuation Germany
Fuchs, J.M.; Husmann, K.; v. Bodelschwingh, H.; Koster, R.; Staupendahl, K.; Offer, A.; Möhring, B.; Paul, C. |
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Monetary valuation of wood in German forests (stumpage values), including estimations of harvest quantities, wood revenues, and harvest costs. The functions are sensitive to tree species, mean diameter of the harvested trees, stand quality, and logging method. The functions include estimations for the consequences of disturbances on revenues and costs. |
Stable version (CRAN) Development version (GitHub) EXCEL version README |
optimLanduse_shiny
v. Groß, V.; Paul, C. |
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This web application determines optimal land-use compositions while simultaneously considering multiple functions and goals. The model explicitly accounts for uncertainty in the respective indicators. This R Shiny application provides a graphical user interface for the R package optimLanduse, which implements the optimization procedure described by Knoke et al. (2016, Nat Commun 7, 11877). Users can upload their own data examples and download the optimized portfolio compositions. |
Web application Development version (GitHub) |