Methods to create a OrderedModel object to supply to
allocate.
OrderedModel(obs, ef, models, ...)
# S4 method for ObsLulcRasterStack,ExpVarRasterList,PredictiveModelList
OrderedModel(obs,
ef, models, time, demand, hist, mask, neighb = NULL, rules = NULL,
nb.rules = NULL, order, params, output = NULL, ...)
an ObsLulcRasterStack object
an ExpVarRasterList object
a PredictiveModelList object
additional arguments (none)
numeric vector containing timesteps over which simulation will occur
matrix with demand for each land use category in terms of number of cells to be allocated. The first row should be the number of cells allocated to the initial observed land use map (i.e. the land use map for time 0)
RasterLayer containing land use history (values represent the number of years the cell has contained the current land use category)
RasterLayer containing binary values where 0 indicates cells that are not allowed to change
an object of class NeighbRasterStack
matrix with land use change decision rules
numeric with neighbourhood decision rules
numeric vector of land use categories in the order that change should be allocated. See Details
list with model parameters
either a RasterStack containing output maps or NULL
An OrderedModel object.
The params argument is a list of parameter values which should contain
the following components:
max.diffThe maximum allowed difference between allocated and demanded area of any land use type. Default is 5
Fuchs, R., Herold, M., Verburg, P.H., and Clevers, J.G.P.W. (2013). A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe, Biogeosciences, 10:1543-1559.
# NOT RUN {
## see lulcc-package examples
# }
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