SDALGCP (version 0.4.0)

SDAContinuousPred: SDAContinuousPred function

Description

This function performs spatial continuous prediction, fixing the model parameters at the Monte Carlo maximum likelihood estimates of a SDALGCP model.

Usage

SDAContinuousPred(
  para_est,
  cellsize,
  control.mcmc = NULL,
  pred.loc = NULL,
  divisor = 1,
  plot.correlogram = F,
  messages = TRUE,
  parallel = FALSE
)

Arguments

para_est

an object of class "SDALGCP" obtained as a result of a call to SDALGCPMCML.

cellsize

the size of the computational grid

control.mcmc

output from controlmcmcSDA, if not provided, it uses the values used for the parameter estimation

pred.loc

optional, the dataframe of the predictive grid.

divisor

optional, the value to use to convert the dimension of the polygon, default is 1 which implies no conversion

plot.correlogram

logical; if plot.correlogram=TRUE the autocorrelation plot of the conditional simulations is displayed.

messages

logical; if messages=TRUE then status messages are printed on the screen (or output device) while the function is running. Default is messages=TRUE.

parallel

to parallelize some part of the function.

Value

pred.draw: the samples of the prediction

pred: the prediction of the relative risk

predSD: the standard error of the prediction

Pred.loc: The coordinates of the predictive locations

Details

The function returns the prediction of the relative risk exp(S(x))