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| bpy.colors | blue-pink-yellow color scheme that prints well as grey tone |
| 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 |
| fulmar | Fulmaris glacialis data |
| get.contr | Calculate contrasts from multivariable predictions |
| gstat | Create gstat objects, or subset it |
| gstat.cv | (co)kriging cross validation, n-fold or leave-one-out |
| image | Image Gridded Coordinates in Data Frame |
| jura | Jura data set |
| krige | 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 |
| makegrid | make regular grid with square cells and round numbers |
| map.to.lev | rearrange data frame for plotting with levelplot |
| mapasp | Calculate plot aspect ratio for geographic maps |
| meuse | Meuse river data set |
| meuse.all | Meuse river data set - original, full data set |
| meuse.alt | Meuse river altitude data set |
| meuse.grid | Prediction Grid for Meuse Data Set |
| ncp.grid | Grid for the NCP, the Dutch part of the North Sea |
| ossfim | Kriging standard errors as function of grid spacing and block size |
| oxford | Oxford soil samples |
| pcb | PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea |
| plot.gstatVariogram | Plot a Sample Variogram |
| plot.pointPairs | Plot a point pairs, identified from a variogram cloud |
| plot.variogramCloud | Plot and Identify Data Pairs on Sample Variogram Cloud |
| plot.variogramMap | Plot a Sample Variogram |
| point.in.polygon | do point(s) fall in a given polygon? |
| 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 |
| select.spatial | select points spatially |
| 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 |
| transect.dat | Jura data set |
| validation.dat | Jura data set |
| 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 |
| walker | Walker Lake sample data set |
| xyz2img | Image Gridded Coordinates in Data Frame |
| zerodist | find point pairs with equal spatial coordinates |
| [.gstat | Create gstat objects, or subset it |