Calculates spatio-temporal covariance
Calculate Euclidean distance matrix for a matrix of coordinates
Performs universal kriging
Generates realizations from a multivariate normal distribution
Calculates spatial covariance based on distance matrix
Calculate Euclidean distance matrix between coordinates of two matrices
Calculates decomposition of covariance matrix
Determine coincident coordinates
Calculates spatial covariance
Determines maximum likelihood estimates of covariance parameters
Calculates temporal covariance based on distance matrix
Extracts coordinates from contourLines function
Returns posterior predictive sample from spLM object
Performs Ordinary Kriging
A toy data set for use in examples.
Determines maximum likelihood estimates of covariance parameters
Plot contour lines
Generate from conditional normal distribution
Performs simple kriging