Plot Polygonal Domain on Image of Bivariate Function
Produces a combined plot of a polygonal domain and an image of a bivariate
function, using either lattice::levelplot
or image
.
plotpolyf(polyregion, f, ..., npixel = 100, cuts = 15, col = rev(heat.colors(cuts + 1)), lwd = 3, xlim = NULL, ylim = NULL, use.lattice = TRUE, print.args = list())
polyregion |
a polygonal domain.
The following classes are supported:
|
f |
a two-dimensional real-valued function. As its first argument it must take a coordinate matrix, i.e., a numeric matrix with two columns, and it must return a numeric vector of length the number of coordinates. |
... |
further arguments for |
npixel |
numeric vector of length 1 or 2 setting the number of pixels in each dimension. |
cuts |
number of cut points in the z dimension.
The range of function values will be divided into |
col |
color vector used for the function levels. |
lwd |
line width of the polygon edges. |
xlim, ylim |
numeric vectors of length 2 setting the axis limits.
|
use.lattice |
logical indicating if lattice graphics
( |
print.args |
a list of arguments passed to |
Sebastian Meyer
### a polygonal domain (a simplified version of spatstat.data::letterR$bdry) letterR <- list( list(x = c(2.7, 3, 3.3, 3.9, 3.7, 3.4, 3.8, 3.7, 3.4, 2, 2, 2.7), y = c(1.7, 1.6, 0.7, 0.7, 1.3, 1.8, 2.2, 2.9, 3.3, 3.3, 0.7, 0.7)), list(x = c(2.6, 2.6, 3, 3.2, 3), y = c(2.2, 2.7, 2.7, 2.5, 2.2)) ) ### f: isotropic exponential decay fr <- function(r, rate = 1) dexp(r, rate = rate) fcenter <- c(2,3) f <- function (s, rate = 1) fr(sqrt(rowSums(t(t(s)-fcenter)^2)), rate = rate) ### plot plotpolyf(letterR, f, use.lattice = FALSE) plotpolyf(letterR, f, use.lattice = TRUE)
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