plotKML (version 0.2-2)

gstatModel-class: A class for a linear geostatistical model

Description

A class containing fitted parameters of a linear geostatistical model. It contains regression (GLM) and the kriging part (variogram).

See Also

SpatialPredictions-class, RasterBrickSimulations-class, gstat::gstat-class

Examples

# load observations:
data(meuse)
coordinates(meuse) <- ~x+y
proj4string(meuse) <- CRS("+init=epsg:28992")
# load grids:
data(meuse.grid)
coordinates(meuse.grid) <- ~x+y
gridded(meuse.grid) <- TRUE
proj4string(meuse.grid) <- CRS("+init=epsg:28992")
# fit a model:
omm <- fit.gstatModel(observations = meuse, formulaString = om~dist, 
covariates = meuse.grid)
show(omm@regModel)
# produce SpatialPredictions:
om.rk <- predict(omm, predictionLocations = meuse.grid)
# overview of the prediction process:
show(om.rk)
# plot the whole project and open in Google Earth:
plotKML(om.rk)