Abstract
A correct historic calibration of land-use models is important, because they
are more and more used by decision makers. Existing calibration methods, however,
do not sufficiently take into account uncertainties in input parameters. For that reason,
uncertainties that propagate through simulations of future land use are mostly unknown.
When uncertainties in model parameters can
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