"plot"(x, ..., how = c("smoothed", "nearest", "points"), style = c("image", "contour", "imagecontour"), sigma = NULL, contourargs=list())
"image"(x, ...)
"contour"(x, ..., main, sigma = NULL)"ssf").
image.default
or
plot.ppp to control the plot.
how="points"),
a smoothed interpolation of the function
(how="smoothed"), or the function value at the
nearest data point (how="nearest").
contour.default
to control the contours, if style="contour" or
style="imagecontour".
NULL.
plot,
image and
contour
for the class "ssf".
An object of class "ssf" represents a
function (real- or vector-valued) that has been
sampled at a finite set of points. For plot.ssf there are three types of display.
If how="points" the exact function values
will be displayed as circles centred at the locations where they
were computed. If how="smoothed" (the default) these
values will be kernel-smoothed using smooth.ppp
and displayed as a pixel image.
If how="nearest" the values will be interpolated
by nearest neighbour interpolation using nnmark
and displayed as a pixel image.
For image.ssf and contour.ssf the values are
kernel-smoothed before being displayed.
Baddeley, A., Rubak, E. and Turner, R. (2015) Spatial Point Patterns: Methodology and Applications with R. Chapman and Hall/CRC Press.
ssf
a <- ssf(cells, nndist(cells, k=1:3))
plot(a, how="points")
plot(a, how="smoothed")
plot(a, how="nearest")
Run the code above in your browser using DataLab