The package provides an option to perform FPBK on counts assuming perfect detection of counts on the sites that were in the survey sample. The functions in the package use methods in (Ver Hoef, 2008, <doi:10.1007/s10651-007-0035-y>)

`sptotal`

Main Functions:

`slmfit`

fits a spatial linear model to the response on the
observed/sampled sites.
The function `check.variogram`

can be used to construct
an empirical variogram of the residuals of the spatial linear model.

`predict.slmfit`

uses the spatial linear model fit from `slmfit`

and finite
population block kriging to predict the response at unobserved locations.
A prediction for the total response as well as a prediction variance
are given by default.

`get.predinfo`

and `get.predplot`

take the resulting object from
`predict.slmfit`

to construct (1) summary information, including the
prediction, prediction variance, and a prediction interval as well as
(2) a plot of the site-wise predictions.

Most of the remaining functions in the package are either helper functions
or extra optional functions to extract various specific things from an
`slmfit`

object, such as residuals, AIC, log-likelihood, etc.

See the Vignette for more details: `browseVignettes("sptotal")`

Reference for Mathematical Details:

Ver Hoef, Jay M. "Spatial methods for plot-based sampling of wildlife
populations."
A *Environmental and Ecological Statistics* 15,
no. 1 (2008): 3-13.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.