spatstat.explore (version 3.5-2)

plot.ssf: Plot a Spatially Sampled Function

Description

Plot a spatially sampled function object.

Usage

# S3 method for ssf
plot(x, ...,
                   how = c("smoothed", "nearest", "points"),
                   style = c("image", "contour", "imagecontour"),
                   sigma = NULL, contourargs=list())
# S3 method for ssf
image(x, ...)
# S3 method for ssf
contour(x, ..., main, sigma = NULL)

Value

NULL.

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.

References

Baddeley, A. (2017) Local composite likelihood for spatial point processes. Spatial Statistics 22, 261--295.

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

See Also

ssf

Examples

  a <- ssf(cells, nndist(cells, k=1:3))
  plot(a, how="points")
  plot(a, how="smoothed")
  plot(a, how="nearest")