Description Usage Arguments Author(s) See Also Examples
Plot a geardf
object produced by the
geardf
or predict.geolm*
functions. See the autopoints
and autoimage
functions for
advanced options.
1 2 |
x |
A |
zcol |
The names of the columns of |
interp |
A logical value indicating whether the
values should be interpolated onto a grid. If
|
common.legend |
A logical value indicating whether a
common legend should be used for the
scatterplots/images. The default is |
... |
Additional arguments to passed to the
|
Joshua French
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | data(toydata)
# newdata must have columns with prediction coordinates
newdata = data.frame(x1 = runif(10), x2 = runif(10))
# specify a standard covariance model
mod = cmod_std(model = "exponential", psill = 1, r = 1)
# geolm for universal kriging
geolm_uk = geolm(y ~ x1 + x2, data = toydata, mod = mod,
coordnames = c("x1", "x2"))
# prediction for universal kriging
pred_uk = predict(geolm_uk, newdata, return_type = "geardf")
# heated scatterplot
plot(pred_uk)
# interpolated image of results
plot(pred_uk, interp = TRUE)
# plot only predictions and rmspe with different colors
plot(pred_uk, c("pred", "rmspe"), col = cm.colors(5))
#'plot only predictions with coarser interpolation grid
plot(pred_uk, "pred", interp = TRUE,
interp.args = list(no.X = 10, no.Y = 10))
|
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