Fast Kriging and Geostatistics on Grids with Kronecker Covariance

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Documentation for package ‘snapKrig’ version 0.0.2

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anyNA.sk Check for presence of grid points with missing data (NAs)
as.double.sk Coerce grid values to numeric (double type)
as.integer.sk Coerce grid values to integer
as.logical.sk Coerce grid values to logical
as.matrix.sk convert to matrix
as.vector.sk Convert grid data to vector of specified mode
dim.sk Grid dimensions
is.na.sk Indices of grid points with missing data (NAs)
length.sk The number of grid-points
Math.sk Math group generics
mean.sk Calculate the mean value in a grid
Ops.sk Operations group generics
plot.sk Heatmap plots
print.sk Auto-printing
sk Make a snapKrig grid list object
sk_cmean Compute kriging predictor (or variance) for an sk grid
sk_coords Return coordinates of a grid of points in column-vectorized order
sk_export Convert "sk" grid to SpatRaster
sk_fit Fit a covariance model to an sk grid by maximum likelihood
sk_GLS Generalized least squares (GLS) with Kronecker covariances for sk grids
sk_LL Likelihood of covariance model 'pars' given the data in sk grid 'g'
sk_nLL Negative log-likelihood for parameter vector 'p'
sk_pars Initialize Kronecker covariance function parameters for a sk grid
sk_plot Plot grid data
sk_plot_pars Plot the covariance structure of a snapKrig model
sk_plot_semi Plot a semi-variogram
sk_rescale Up or down-scale a sk grid by an integer factor
sk_sample_vg Sample point pair absolute differences for use in semi-variogram estimation
sk_sim Random draw from multivariate normal distribution for sk grids
sk_snap Snap a set of points to a "sk" grid
sk_var Generate a covariance matrix or its factorization
summary.sk Grid summary
[.sk Extract a sk list element (single-bracket access)
[<-.sk Single-bracket assign
[[.sk<- sk_methods.R Dean Koch, 2022 S3 methods for sk grid list objects