summary.ppp

From spatstat v1.34-1 by Adrian Baddeley

Summary of a Point Pattern Dataset

Prints a useful summary of a point pattern dataset.

Keywords: methods, spatial

Usage

## S3 method for class 'ppp':
summary(object, \dots, checkdup=TRUE)

Arguments

object: Point pattern (object of class "ppp").
...: Ignored.
checkdup: Logical value indicating whether to check for the presence of duplicate points.

Details

A useful summary of the point pattern object is printed.

This is a method for the generic function summary.

If checkdup=TRUE, the pattern will be checked for the presence of dublicate points, using duplicated.ppp. This can be time-consuming if the pattern contains many points, so the checking can be disabled by setting checkdup=FALSE.

If the point pattern was generated by simulation using rmh, the parameters of the algorithm are printed.

Examples

summary(cells)  # plain vanilla point pattern

  # multitype point pattern
  <testonly>lansing <- lansing[seq(1, lansing$n, length=40)]</testonly>
  summary(lansing) # tabulates frequencies of each mark
  
  # numeric marks
  <testonly>longleaf <- longleaf[seq(1, longleaf$n, length=40)]</testonly>
  summary(longleaf) # prints summary.default(x$marks)

  # weird polygonal window
  summary(demopat)  # describes it

Documentation reproduced from package spatstat, version 1.34-1, License: GPL (>= 2)

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