Methods to create a CluesModel
object to supply to
allocate
.
CluesModel(obs, ef, models, ...)
# S4 method for ObsLulcRasterStack,ExpVarRasterList,PredictiveModelList
CluesModel(obs,
ef, models, time, demand, hist, mask, neighb = NULL, elas, rules = NULL,
nb.rules = NULL, params, output = NULL, ...)
an ObsLulcRasterStack
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
numeric indicating the elasticity of each land use category to change. Elasticity varies between 0 and 1, with 0 indicating a low resistance to change and 1 indicating a high resistance to change
matrix with land use change decision rules
numeric with neighbourhood decision rules
list with model parameters
either a RasterStack containing output maps or NULL
A CluesModel object.
The params
argument is a list of parameter values which should contain
the following components:
jitter.f
Parameter controlling the amount of perturbation applied to the probability surface prior to running the CLUE-S iterative algorithm. Higher values result in more perturbation. Default is 0.0001
scale.f
Scale factor which controls the amount by which suitability is increased if demand is not met. Default is 0.0005
max.iter
The maximum number of iterations in the simulation
max.diff
The maximum allowed difference between allocated and demanded area of any land use type. Default is 5
ave.diff
The average allowed difference between allocated and demanded area. Default is 5
Note that, in order to achieve convergence, it is likely that some adjustment of these parameters will be required.
Verburg, P.H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V., Mastura, S.S. (2002). Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental management, 30(3):391-405.
# NOT RUN {
## see lulcc-package examples
# }
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