dff <- generateData()
Pmatrix <- makeIPMPmatrix(
growObj = makeGrowthObj(dff),
survObj = makeSurvObj(dff),
nBigMatrix=20,
minSize = min(dff$size, na.rm = TRUE),
maxSize=max(dff$size, na.rm=TRUE))
dff$fec[dff$fec==0] <- NA
fv1 <- makeFecObj(dff, Formula = fec~size, Transform = "log")
Fmatrix <- makeIPMFmatrix(
fecObj = fv1,
nBigMatrix = 20,
minSize = min(dff$size, na.rm = TRUE),
maxSize = max(dff$size, na.rm = TRUE))
IPMmatrix <- makeIPMmatrix(Pmatrix,Fmatrix)
slotNames(IPMmatrix)
require(fields)
par(mfrow=c(2,2))
image.plot(IPMmatrix@meshpoints, IPMmatrix@meshpoints, t(Pmatrix),
xlab = "Size(t)",
ylab = "Size(t+1)",
main = "Survival/Growth Kernel")
image.plot(IPMmatrix@meshpoints, IPMmatrix@meshpoints, t(Fmatrix),
xlab = "Size (t)",
ylab = "Size(t+1)",
main = "Fecundity Kernel")
image.plot(IPMmatrix@meshpoints, IPMmatrix@meshpoints, t(IPMmatrix),
xlab = "Size(t)",
ylab = "Size(t+1)",
main = "IPM Kernel")
# trick to visualize the whole IPM kernel when the Fmatrix has values>>Pmatrix
image.plot(IPMmatrix@meshpoints, IPMmatrix@meshpoints, t(IPMmatrix)^.1,
xlab = "Size(t)",
ylab = "Size(t+1)",
main = "IPM Kernel^(.01)")
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