krige.conv: Spatial Prediction -- Conventional Kriging

Description

This function performs spatial prediction for fixed covariance parameters using global neighbourhood. Available options implement the following kriging types: SK (simple kriging), OK (ordinary kriging), KTE (external trend kriging) and UK (universal kriging).

Usage

krige.conv(geodata, coords = geodata$coords, data = geodata$data, 
           locations,
           krige = krige.control(type.krige, trend.d, trend.l,
                     obj.model, beta = NULL, cov.model, cov.pars,
                     kappa = 0.5, nugget = 0, micro.scale = 0,
                     dist.epsilon = 1e-10, aniso.pars = NULL, 
                     lambda = 1, signal = FALSE,
                     n.samples.backtransform = 500, n.sim = 0),
           messages.screen = TRUE)

Arguments

geodata

a list containing elements coords and data as described next. Typically an object of the class "geodata" - a geoR data-set. If not provided the arguments

coords

an $n \times 2$ matrix or data-frame with the 2-D coordinates of the $n$ data locations. By default it takes the component coords of the argument geodata, if provided.

data

a vector with n data values. By default it takes the component data of the argument geodata, if provided.

locations

an $N \times 2$ matrix or data-frame with the 2-D coordinates of the $N$ prediction locations.

krige

defines the model components and the type of kriging. See section DETAILS below. messages.screen{logical. Indicates whether or not status messages are printed on the screen (or other output device) while the function is running.}