Make predictions of density or abundance outside (or inside) the covered area.
# S3 method for dsm
predict(object, newdata = NULL, off.set = NULL, type = "response", ...)predicted values on the response scale by default (unless type is
specified, in which case see predict.gam).
a fitted dsm object
spatially referenced covariates e.g. altitude, depth,
distance to shore, etc. Covariates in the data.frame must have names
identical to variable names used in fitting the model
area of each of the cells in the prediction grid. Should be
in the same units as the segments/distances given to dsm. Replaces the
column in newdata called off.set if it is supplied. Ignored if newdata
is not supplied
what scale should the results be on. The default is
"response", see predict.gam for an explanation of
other options (usually not necessary)
any other arguments passed to predict.gam
David L. Miller
If newdata is not supplied, predictions are made for the data that built
the model. Note that the order of the results will not necessarily be the
same as the segdata (segment data) data.frame that was supplied to
dsm.
The area off.set is used if that argument is supplied, otherwise it will
look for the areas in the column named off.set in the newdata. Either
way the link function (usually log) will be applied to the offsets, so
there is no need to log them before passing them to this function.
predict.gam, dsm_var_gam,
dsm_var_prop