Simple, Ordinary or Universal, global or local, Point or Block Kriging,
or simulation.
Grid for the NCP, the Dutch part of the North Sea
Gstat Internal Functions
Calculate contrasts from multivariable predictions
Ordinary global Spatio-Temporal Kriging
conditional/unconditional spatio-temporal simulation
Meuse river altitude data set
Image Gridded Coordinates in Data Frame
Plot a point pairs, identified from a variogram cloud
GLS fitting of variogram parameters
Jura data set
Oxford soil samples
Simulation based on circulant embedding
Kriging standard errors as function of grid spacing and block size
Plot and Identify Data Pairs on Sample Variogram Cloud
Semivariance values for a given spatio-temporal variogram model
Create gstat objects, or subset it
TransGaussian kriging using Box-Cox transforms
(co)kriging cross validation, n-fold or leave-one-out
Generate, or Add to Variogram Model
Get or set progress indicator
Multivariable Geostatistical Prediction and Simulation
PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea
Plot a sample variogram, and possibly a fitted model
Function that returns the covariances for areas
rearrange data frame for plotting with levelplot
Meuse river data set -- original, full data set
S<U+00FC>dliche Tullnerfeld data set
Calculate Sample or Residual Variogram or Variogram Cloud
Precomputed variogram for PM10 in data set air
Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
Produce h-scatterplot
Constructing a spatio-temporal variogram
Plot map matrix of prediction error variances and covariances
Walker Lake sample and exhaustive data sets
Calculate Spatio-Temporal Sample Variogram
Plot Variogram Model Functions
Semivariance Values For a Given Variogram Model
Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
Ireland wind data, 1961-1978
panel functions for most of the variogram plots through lattice
point-point, point-area or area-area semivariance
Estimation of the spatio-temporal anisotropy
Extracting parameters and their names from a spatio-temporal variogram model
REML Fit Direct Variogram Partial Sills to Data
Fit a spatio-temporal sample variogram to a sample variogram
Fit a Variogram Model to a Sample Variogram
Fulmaris glacialis data
Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram
Spatio-temporal data set with rural background PM10 concentrations in Germany 2005
Coal ash samples from a mine in Pennsylvania