FPBKoutput: Create maps and summaries from FPBK results.
In highamm/FPBK-with-Detection: Finite Population Block Kriging with Detection

Description Usage Arguments Value Examples

The main purpose of this function is to take the results from FPBK and make readable maps, a fitted variogram plot, and normal-based prediction intervals. The main input for this function is the output from the FPBK.pred function.

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FPBKoutput(pred_info, conf_level = c(0.8, 0.9, 0.95),
  get_krigmap = TRUE, get_sampdetails = TRUE, get_variogram = TRUE,
  pointsize = 2)

`pred_info`	is the output from `FPBK.pred` in this package.
`conf_level`	is the desired confidence level for the prediction. If `conf_level` is a vector, then confidence intervals for each element of the vector will be produced.
`get_krigmap`	is an indicator for whether or not a grid of the kriged responses is returned
`get_sampdetails`	is an indicator for whether or not a summary of the sampled counts should be output. This summary includes the total number of animals or plants sited, the total area surveyed, the number of sampled sites, the total number of sites, etc.
`get_variogram`	is an indicator for whether or not a variogram of the residuals should be returned
`pointsize`	is the size of the points on the spatial graphic.

prediction for the total with prediction intervals
a map of the kriged counts (optional)
a summary of the sample data (optional)
an empirical variogram from gstat with the fitted variogram model with details of the empirical variogram and spatial parameter estimates (optional)
a data frame with the site-by-site predictions

slmfitobj <- slmfit(formula = Moose ~ CountPred + Stratum,
data = vignettecount,
xcoordcol = "Xcoords", ycoordcol = "Ycoords")
predobj <- predict(object = slmfitobj)
FPBKoutput(pred_info = predobj)