Calculate contrasts from multivariable predictions
Gstat Internal Functions
Image Gridded Coordinates in Data Frame
Jura data set
Ordinary global Spatio-Temporal Kriging
Simple, Ordinary or Universal, global or local, Point or Block Kriging,
or simulation.
Produce h-scatterplot
(co)kriging cross validation, n-fold or leave-one-out
Create gstat objects, or subset it
conditional/unconditional spatio-temporal simulation
rearrange data frame for plotting with levelplot
Oxford soil samples
Simulation based on circulant embedding
TransGaussian kriging using Box-Cox transforms
Meuse river data set -- original, full data set
Kriging standard errors as function of grid spacing and block size
Grid for the NCP, the Dutch part of the North Sea
PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea
Meuse river altitude data set
Plot a sample variogram, and possibly a fitted model
Plot and Identify Data Pairs on Sample Variogram Cloud
Plot Variogram Model Functions
Südliche Tullnerfeld data set
Get or set progress indicator
Plot map matrix of prediction error variances and covariances
Multivariable Geostatistical Prediction and Simulation
Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
Plot a point pairs, identified from a variogram cloud
Calculate Sample or Residual Variogram or Variogram Cloud
Walker Lake sample and exhaustive data sets
Function that returns the covariances for areas
Precomputed variogram for PM10 in data set air
panel functions for most of the variogram plots through lattice
point-point, point-area or area-area semivariance
Calculate Spatio-Temporal Sample Variogram
Generate, or Add to Variogram Model
Semivariance values for a given spatio-temporal variogram model
Constructing a spatio-temporal variogram
Semivariance Values For a Given Variogram Model
Ireland wind data, 1961-1978
Fulmaris glacialis data
Extracting parameters and their names from a spatio-temporal variogram model
Estimation of the spatio-temporal anisotropy
Fit a Variogram Model to a Sample Variogram
Coal ash samples from a mine in Pennsylvania
GLS fitting of variogram parameters
Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram
Spatio-temporal data set with rural background PM10 concentrations in Germany 2005
REML Fit Direct Variogram Partial Sills to Data
Fit a spatio-temporal sample variogram to a sample variogram