plot {ramps} | R Documentation |
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, ...)
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. |
Brian Smith brian-j-smith@uiowa.edu
georamps
predict.ramps
contour
drape.plot
image
image.plot
map
## 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)