Creates surface maps of posterior spatial distributions from georamps or predict.ramps.
## S3 method for class 'ramps'plot(x, type = c("i","c","w"), col = tim.colors(64), func = mean, sites =FALSE, database =NULL, regions =".", resolution = c(64,64), bw =1,...)## S3 method for class 'predict.ramps'plot(x, type = c("i","c","w"), col = tim.colors(64), func = mean, database =NULL, regions =".", resolution = c(64,64), bw =1,...)
Arguments
x: object returned by georamps or predict.ramps.
type: type of plot to produce: "i" = image.plot (default), "c" = contour and image, and "w" = drape.plot wireframe.
col: vector of colors such as that generated by rainbow, heat.colors, topo.colors, terrain.colors, or similar functions.
func: function defining the posterior summary statistic to be plotted.
sites: logical value indicating whether to include the measurements sites in the plot.
database: character string naming a geographical database for the mapping of geographic boundaries. See map documentation for details.
regions: character vector naming the polygons to draw. See map documentation for details.
resolution: numerical vector of length 2 specifying the number of pixels (width x height) for the surface image.
bw: numerical value specifying the bandwidth used for smoothing the spatial surface as a percentage of the diagonal length of the plot region. Defaults to 1% of the diagonal length.
...: additional arguments passed to the underlying plotting function associated with the specified type argument.
## Surface maps of the georamps example results## Not run:plot(NURE.fit, database ="state", regions ="connecticut", resolution = c(200,150), bw =5, main ="Spatial Process Posterior Mean")## End(Not run)