plot.predict.slmfit: Create a default map from predictions

In highamm/sptotal: Predicting Totals and Weighted Sums from Spatial Data

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 predict.slmfit() function, of class predict.slmfit
...	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)

highamm/sptotal documentation built on Aug. 12, 2024, 2:04 a.m.