affine.lpp

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Apply Geometrical Transformations to Point Pattern on a Linear Network

Apply geometrical transformations to a point pattern on a linear network.

Keywords
spatial, math
Usage
## S3 method for class 'lpp':
affine(X, mat=diag(c(1,1)), vec=c(0,0), ...)

## S3 method for class 'lpp': shift(X, vec=c(0,0), ..., origin=NULL)

## S3 method for class 'lpp': rotate(X, angle=pi/2, \dots, centre=NULL)

## S3 method for class 'lpp': scalardilate(X, f, \dots)

## S3 method for class 'lpp': rescale(X, s, unitname)

Arguments
X
Point pattern on a linear network (object of class "lpp").
mat
Matrix representing a linear transformation.
vec
Vector of length 2 representing a translation.
angle
Rotation angle in radians.
f
Scalar dilation factor.
s
Unit conversion factor: the new units are s times the old units.
...
Arguments passed to other methods.
origin
Character string determining a location that will be shifted to the origin. Options are "centroid", "midpoint" and "bottomleft". Partially matched.
centre
Centre of rotation. Either a vector of length 2, or a character string (partially matched to "centroid", "midpoint" or "bottomleft"). The default is the coordinate origin c(0,0).
unitname
Optional. New name for the unit of length. A value acceptable to the function unitname<-
Details

These functions are methods for the generic functions affine, shift, rotate, rescale and scalardilate applicable to objects of class "lpp".

All of these functions perform geometrical transformations on the object X, except for rescale, which simply rescales the units of length.

Value

  • Another point pattern on a linear network (object of class "lpp") representing the result of applying the geometrical transformation.

See Also

lpp. Generic functions affine, shift, rotate, scalardilate, rescale.

Aliases
  • affine.lpp
  • shift.lpp
  • rotate.lpp
  • rescale.lpp
  • scalardilate.lpp
Examples
X <- rpoislpp(2, simplenet)
  U <- rotate(X, pi)
  stretch <- diag(c(2,3))
  Y <- affine(X, mat=stretch)
  shear <- matrix(c(1,0,0.6,1),ncol=2, nrow=2)
  Z <- affine(X, mat=shear, vec=c(0, 1))
Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)

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