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How to predict future land use
We have land use data (data from the Plum Island) from 3 years, say 1985, 1991 and 1999, and we would like the predict the future land use map for 2005. We predict it with the following code:
dmd <- approxExtrapDemand(obs=obs, tout=14:20)
clues.rules <- matrix(data=1, nrow=3, ncol=3, byrow=TRUE)
clues.parms <- list(jitter.f=0.0002,
scale.f=0.000001,
max.iter=1000,
max.diff=50,
ave.diff=50)
clues.model <- CluesModel(obs=obs,
ef=ef,
models=glm.models,
time=14:20,
demand=dmd,
elas=c(0.2,0.2,0.2),
rules=clues.rules,
params=clues.parms)
clues.model <- allocate(clues.model)
clues.model
And we got:
Does it means that the prediction for 2005(t=20) is based on map of 1985( t = 0)? Can we prediction the land use for 2005(t=20) based on map of 1999?