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| anisoMatrix | Calculates a 2-D matrix for geometric anisotropy |
| as.im | Convert a raster to an im object |
| as.im.default | Convert a raster to an im object |
| as.im.RasterLayer | Convert a raster to an im object |
| elevationLoa | Loaloa prevalence data from 197 village surveys |
| eviLoa | Loaloa prevalence data from 197 village surveys |
| excProb | Exceedance probabilities |
| gambiaUTM | Gambia data |
| GaussRF | Simulate Gaussian Random Fields |
| GaussRF.default | Simulate Gaussian Random Fields |
| GaussRF.Raster | Simulate Gaussian Random Fields |
| GaussRF.SpatialPoints | Simulate Gaussian Random Fields |
| GaussRF.SpatialPointsDataFrame | Simulate Gaussian Random Fields |
| gmrfPrecUncond | Precision matrix for a Matern spatial correlation |
| GNcities | Retrieve city names and locations |
| GNcities.default | Retrieve city names and locations |
| GNcities.Extent | Retrieve city names and locations |
| GNcities.matrix | Retrieve city names and locations |
| grfConditional | Conditional simulation of a Gaussian Random Field |
| krige | Spatial prediction, or Kriging |
| lgm | Linear Geostatistical Models |
| likfit | Likelihood Based Parameter Estimation for Gaussian Random Fields |
| likfit.default | Likelihood Based Parameter Estimation for Gaussian Random Fields |
| likfit.SpatialPointsDataFrame | Likelihood Based Parameter Estimation for Gaussian Random Fields |
| loaloa | Loaloa prevalence data from 197 village surveys |
| loglik.GRF | Log-Likelihood for a Gaussian Random Field |
| loglik.GRF.default | Log-Likelihood for a Gaussian Random Field |
| loglik.GRF.SpatialPointsDataFrame | Log-Likelihood for a Gaussian Random Field |
| ltLoa | Loaloa prevalence data from 197 village surveys |
| maternGmrfPrec | Precision matrix for a Matern spatial correlation |
| maternGmrfPrec.default | Precision matrix for a Matern spatial correlation |
| maternGmrfPrec.dgCMatrix | Precision matrix for a Matern spatial correlation |
| maternGmrfPrec.matrix | Precision matrix for a Matern spatial correlation |
| murder | Murder locations |
| nn128 | Nearest neighbour matrices |
| nn32 | Nearest neighbour matrices |
| nn64 | Nearest neighbour matrices |
| NNmat | Precision matrix for a Matern spatial correlation |
| openmap | Get map from a server |
| openmap.default | Get map from a server |
| openmap.Extent | Get map from a server |
| openmap.matrix | Get map from a server |
| rongelapUTM | Rongelap data |
| simLgcp | Simulate a log-Gaussian Cox process |
| simPoissonPP | Simulate a log-Gaussian Cox process |
| stackRasterList | Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack. |
| swissAltitude | Swiss rainfall data |
| swissBorder | Swiss rainfall data |
| swissRain | Swiss rainfall data |
| torontoIncome | Murder locations |
| torontoNight | Murder locations |
| torontoPdens | Murder locations |
| variog | Compute Empirical Variograms and Permutation Envelopes |
| variog.default | Compute Empirical Variograms and Permutation Envelopes |
| variog.mc.env | Compute Empirical Variograms and Permutation Envelopes |
| variog.mc.env.default | Compute Empirical Variograms and Permutation Envelopes |
| variog.mc.env.SpatialPointsDataFrame | Compute Empirical Variograms and Permutation Envelopes |
| variog.SpatialPointsDataFrame | Compute Empirical Variograms and Permutation Envelopes |
| wheat | Mercer and Hall wheat yield data |