fastkriege: Calculate Kriging predictions

In mjlaine/fastgrid: Gridding point data to a regular grid

Calculate Kriging predictions

Description

Now assumes that the coordinate names are longitude and latitude.

Usage

fastkriege(
  trend_model = temperature ~ -1,
  data,
  grid,
  cov.pars,
  lsm = NULL,
  lsmy = NULL,
  alt = NULL,
  alty = NULL,
  altlen = 200,
  bg = NULL,
  variable = "temperature",
  LapseRate = 0,
  method = "bilinear"
)

Arguments

trend_model	formula to build the regression matrices
data	data containing station temperatures as SpatialPoints
grid	definition of model grid, must contain longitude, latitude coordinates and variables used in trend_model
cov.pars	c(sigmasq,phi,tausq)
lsm, lsmy	land sea masks for grid and data
alt, alty	altitude information for the grid and data
altlen	range parameter for altitude (meters)
bg	optional background field of the same dimensions as the grid
variable	the name of the variable to be gridded, default "temperature"

mjlaine/fastgrid documentation built on July 24, 2022, 2:43 a.m.