spatstat.core: panel.contour – R documentation

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panel.contour

Panel Plots using Colour Image or Contour Lines

Description

These functions can be passed to pairs or coplot to determine what kind of plotting is done in each panel of a multi-panel graphical display.

Usage

panel.contour(x, y, ..., sigma = NULL)

panel.image(x, y, ..., sigma = NULL)

panel.histogram(x, ...)

Arguments

`x,y`	Coordinates of points in a scatterplot.
`...`	Extra graphics arguments, passed to `contour.im`, `plot.im` or `rect`, respectively, to control the appearance of the panel.
`sigma`	Bandwidth of kernel smoother, on a scale where x and y range between 0 and 1.

Details

These functions can serve as one of the arguments panel, lower.panel, upper.panel, diag.panel passed to graphics commands like pairs or coplot, to determine what kind of plotting is done in each panel of a multi-panel graphical display. In particular they work with pairs.im.

The functions panel.contour and panel.contour are suitable for the off-diagonal plots which involve two datasets x and y. They first rescale x and y to the unit square, then apply kernel smoothing with bandwidth sigma using density.ppp. Then panel.contour draws a contour plot while panel.image draws a colour image.

The function panel.histogram is suitable for the diagonal plots which involve a single dataset x. It displays a histogram of the data.

Value

Null.

Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

Examples

pairs(bei.extra,
        panel      = panel.contour,
        diag.panel = panel.histogram)
  with(bei.extra,
        pairs(grad, elev, 
              panel      = panel.image,
              diag.panel = panel.histogram))
  pairs(marks(finpines), panel=panel.contour, diag.panel=panel.histogram)

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2

GPL (>= 2)

Authors

Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]

Initial release

2021-04-17