R: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

# Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

## Documentation for package ‘gstat’ version 2.1-6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS

## Help Pages

A C D E F G H I J K M N O P S T V W X misc

## -- A --

as.data.frame.variogramCloud | Calculate Sample or Residual Variogram or Variogram Cloud
as.vgm.variomodel | Generate, or Add to Variogram Model

## -- C --

Chlorid92 | Südliche Tullnerfeld data set
coalash | Coal ash samples from a mine in Pennsylvania

## -- D --

demstd | Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
DE_RB_2005 | Spatio-temporal data set with rural background PM10 concentrations in Germany 2005

## -- E --

estiStAni | Estimation of the spatio-temporal anisotropy
extractPar | Extracting parameters and their names from a spatio-temporal variogram model
extractParNames | Extracting parameters and their names from a spatio-temporal variogram model

## -- F --

fit.lmc | Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram
fit.StVariogram | Fit a spatio-temporal sample variogram to a sample variogram
fit.variogram | Fit a Variogram Model to a Sample Variogram
fit.variogram.gls | GLS fitting of variogram parameters
fit.variogram.reml | REML Fit Direct Variogram Partial Sills to Data
fulmar | Fulmaris glacialis data

## -- G --

get.contr | Calculate contrasts from multivariable predictions
getGammas | Semivariance Values For a Given Variogram Model
get_gstat_progress | Get or set progress indicator
gstat | Create gstat objects, or subset it
gstat.cv | (co)kriging cross validation, n-fold or leave-one-out

## -- H --

hscat | Produce h-scatterplot

## -- I --

idw | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
idw-method | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
idw-methods | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
idw.locations | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
idw.spatial | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
idw0 | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
image | Image Gridded Coordinates in Data Frame
image.data.frame | Image Gridded Coordinates in Data Frame

## -- J --

jura | Jura data set
jura.grid | Jura data set
jura.pred | Jura data set
jura.val | Jura data set
juragrid.dat | Jura data set

## -- K --

krige | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
krige-method | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
krige-method | Ordinary global Spatio-Temporal Kriging
krige-methods | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
krige.cv | (co)kriging cross validation, n-fold or leave-one-out
krige.cv-method | (co)kriging cross validation, n-fold or leave-one-out
krige.cv.locations | (co)kriging cross validation, n-fold or leave-one-out
krige.cv.spatial | (co)kriging cross validation, n-fold or leave-one-out
krige.locations | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
krige.spatial | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
krige0 | Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.
krigeSimCE | Simulation based on circulant embedding
krigeST | Ordinary global Spatio-Temporal Kriging
krigeSTSimTB | conditional/unconditional spatio-temporal simulation
krigeSTTg | Ordinary global Spatio-Temporal Kriging
krigeTg | TransGaussian kriging using Box-Cox transforms

## -- M --

map.to.lev | rearrange data frame for plotting with levelplot
meuse.all | Meuse river data set - original, full data set
meuse.alt | Meuse river altitude data set

## -- N --

ncp.grid | Grid for the NCP, the Dutch part of the North Sea

## -- O --

ossfim | Kriging standard errors as function of grid spacing and block size
oxford | Oxford soil samples

## -- P --

panel.pointPairs | panel functions for most of the variogram plots through lattice
pcb | PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea
plot.gstatVariogram | Plot a sample variogram, and possibly a fitted model
plot.pointPairs | Plot a point pairs, identified from a variogram cloud
plot.StVariogram | Plot a sample variogram, and possibly a fitted model
plot.variogramCloud | Plot and Identify Data Pairs on Sample Variogram Cloud
plot.variogramMap | Plot a sample variogram, and possibly a fitted model
plot.variogramModel | Generate, or Add to Variogram Model
predict | Multivariable Geostatistical Prediction and Simulation
predict.gstat | Multivariable Geostatistical Prediction and Simulation
prediction.dat | Jura data set
print.gstat | Create gstat objects, or subset it
print.gstatVariogram | Calculate Sample or Residual Variogram or Variogram Cloud
print.variogramCloud | Calculate Sample or Residual Variogram or Variogram Cloud
print.variogramModel | Generate, or Add to Variogram Model

## -- S --

set_gstat_progress | Get or set progress indicator
show.vgms | Plot Variogram Model Functions
sic.grid | Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
sic.pred | Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
sic.test | Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
sic.train | Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
sic.val | Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
sic2004 | Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
sic_full | Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
sic_obs | Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
spplot.vcov | Plot map matrix of prediction error variances and covariances

## -- T --

transect.dat | Jura data set
tull | Südliche Tullnerfeld data set
tull36 | Südliche Tullnerfeld data set
TULLNREG | Südliche Tullnerfeld data set

## -- V --

validation.dat | Jura data set
variogram | Calculate Sample or Residual Variogram or Variogram Cloud
variogram.default | Calculate Sample or Residual Variogram or Variogram Cloud
variogram.formula | Calculate Sample or Residual Variogram or Variogram Cloud
variogram.gstat | Calculate Sample or Residual Variogram or Variogram Cloud
variogramLine | Semivariance Values For a Given Variogram Model
variogramST | Calculate Spatio-Temporal Sample Variogram
variogramSurface | Semivariance values for a given spatio-temporal variogram model
vgm | Generate, or Add to Variogram Model
vgm.panel.xyplot | panel functions for most of the variogram plots through lattice
vgmArea | point-point, point-area or area-area semivariance
vgmAreaST | Function that returns the covariances for areas
vgmST | Constructing a spatio-temporal variogram
vv | Precomputed variogram for PM10 in data set air

## -- W --

walker | Walker Lake sample and exhaustive data sets
walker.exh | Walker Lake sample and exhaustive data sets
wind | Ireland wind data, 1961-1978
wind.loc | Ireland wind data, 1961-1978

## -- X --

xyz2img | Image Gridded Coordinates in Data Frame

## -- misc --

[.gstat | Create gstat objects, or subset it