plot.predict.slmfit {sptotal} | R Documentation |
Create a default map from predictions
Description
Creates a default map for the predictions of unobserved sites. Note that all predictions are stored
in a data frame in the output of predict.slmfit()
. Therefore, if a user
would like to create his or her own plot, they can easily do so using
this data frame.
Usage
## S3 method for class 'predict.slmfit'
plot(x, ...)
Arguments
x |
the output of the |
... |
further arguments passed to or from other methods. |
Value
a plot with x-coordinates on the x-axis and y-coordinates on the y-axis that is coloured by predictions, with points with an X denoting that a site was sampled and filled circles denoting unsampled sites.
Examples
data(exampledataset) ## load a toy data set
slmobj <- slmfit(formula = counts ~ pred1 + pred2, data = exampledataset,
xcoordcol = 'xcoords', ycoordcol = 'ycoords', areacol = 'areavar')
predobj <- predict(slmobj)
plot(predobj)
[Package sptotal version 1.0.1 Index]