multivariable geostatistical modelling, prediction and simulation

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"[.gstat" Create gstat objects, or subset it
bpy.colors blue-pink-yellow color scheme that prints well on black/white printers
bubble Create a bubble plot of spatial data
fit.lmc Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram
fit.variogram Fit a Variogram Model to a Sample Variogram
fit.variogram.reml REML Fit Direct Variogram Partial Sills to Data
get.contr Calculate contrasts from multivariable predictions
gstat Create gstat objects, or subset it
image Image Gridded Coordinates in Data Frame
krige Simple, Ordinary or Universal, global or local, Point or Block Kriging
krige.cv kriging cross validation, n-fold or leave-one-out
map.to.lev rearrange data frame for plotting with levelplot
mapasp Calculate plot aspect ratio for geographic maps
meuse Meuse river data set
meuse.grid Prediction Grid for Meuse Data Set
ossfim Kriging standard errors as function of grid spacing and block size
plot.point.pairs Plot a point pairs, identified from a variogram cloud
plot.variogram Plot a Sample Variogram
plot.variogram.cloud Plot and Identify Data Pairs on Sample Variogram Cloud
point.in.polygon do point(s) fall in a given polygon?
predict.gstat Multivariable Geostatistical Prediction and Simulation
print.gstat Create gstat objects, or subset it
print.variogram Calculate Sample or Residual Variogram or Variogram Cloud
print.variogram.model Generate, or Add to Variogram Model
select.spatial select points spatially
variogram Calculate Sample or Residual Variogram or Variogram Cloud
variogram.line Semivariance Values For a Given Variogram Model
vgm Generate, or Add to Variogram Model
xyz2img Image Gridded Coordinates in Data Frame
zerodist find point pairs with equal spatial coordinates