plot.ssf

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Plot a Spatially Sampled Function

Plot a spatially sampled function object.

Keywords
hplot, spatial
Usage
"plot"(x, ..., how = c("smoothed", "nearest", "points"), style = c("image", "contour", "imagecontour"), sigma = NULL, contourargs=list())
"image"(x, ...)
"contour"(x, ..., main, sigma = NULL)
Arguments
x
Spatially sampled function (object of class "ssf").
...
Arguments passed to image.default or plot.ppp to control the plot.
how
Character string determining whether to display the function values at the data points (how="points"), a smoothed interpolation of the function (how="smoothed"), or the function value at the nearest data point (how="nearest").
style
Character string indicating whether to plot the smoothed function as a colour image, a contour map, or both.
contourargs
Arguments passed to contour.default to control the contours, if style="contour" or style="imagecontour".
sigma
Smoothing bandwidth for smooth interpolation.
main
Optional main title for the plot.
Details

These are methods for the generic 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.

Value

NULL.

References

Baddeley, A. (2016) Local composite likelihood for spatial point processes. Submitted for publication.

Baddeley, A., Rubak, E. and Turner, R. (2015) Spatial Point Patterns: Methodology and Applications with R. Chapman and Hall/CRC Press.

See Also

ssf

Aliases
  • plot.ssf
  • image.ssf
  • contour.ssf
Examples
  a <- ssf(cells, nndist(cells, k=1:3))
  plot(a, how="points")
  plot(a, how="smoothed")
  plot(a, how="nearest")
Documentation reproduced from package spatstat, version 1.48-0, License: GPL (>= 2)

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