gstat2.1-2 package

Estimation of the spatio-temporal anisotropy

Extracting parameters and their names from a spatio-temporal variogram...

Fit a Linear Model of Coregionalization to a Multivariable Sample Vari...

Fit a spatio-temporal sample variogram to a sample variogram

GLS fitting of variogram parameters

Fit a Variogram Model to a Sample Variogram

REML Fit Direct Variogram Partial Sills to Data

Calculate contrasts from multivariable predictions

Gstat Internal Functions

Create gstat objects, or subset it

Produce h-scatterplot

Image Gridded Coordinates in Data Frame

(co)kriging cross validation, n-fold or leave-one-out

Simple, Ordinary or Universal, global or local, Point or Block Kriging...

Simulation based on circulant embedding

Ordinary global Spatio-Temporal Kriging

conditional/unconditional spatio-temporal simulation

TransGaussian kriging using Box-Cox transforms

rearrange data frame for plotting with levelplot

Kriging standard errors as function of grid spacing and block size

Plot a sample variogram, and possibly a fitted model

Plot a point pairs, identified from a variogram cloud

Plot and Identify Data Pairs on Sample Variogram Cloud

Multivariable Geostatistical Prediction and Simulation

Get or set progress indicator

Plot Variogram Model Functions

Plot map matrix of prediction error variances and covariances

Calculate Sample or Residual Variogram or Variogram Cloud

Semivariance Values For a Given Variogram Model

Calculate Spatio-Temporal Sample Variogram

Semivariance values for a given spatio-temporal variogram model

panel functions for most of the variogram plots through lattice

Generate, or Add to Variogram Model

point-point, point-area or area-area semivariance

Function that returns the covariances for areas

Constructing a spatio-temporal variogram