`spokes(x, y, nrad = 3, nper = 3, fctr = 1.5)`

x

Vector of $x$ coordinates of data points.

y

Vector of $y$ coordinates of data points.

nrad

Number of radii emanating from each data point.

nper

Number of dummy points per radius.

fctr

Scale factor.
Length of largest spoke radius is

`fctr * M`

where `M`

is the mean nearest neighbour distance
for the data points.- A list with two components
`x`

and`y`

, which are numeric vectors giving the coordinates of the dummy points.

`quadscheme`

). Given the point pattern specified by the vectors
`x`

and `y`

, the function
creates a pattern of `nrad * nper * length(x)`

dummy points.

Around each data point `(x[i],y[i])`

there are
`nrad * nper`

dummy points, lying on `nrad`

radii
emanating from `(x[i],y[i])`

, with `nper`

dummy points
equally spaced along each radius.

The (equal) spacing of dummy points along each radius is
controlled by the factor `fctr`

.
The distance from a data point to the furthest of its associated
dummy points is `fctr * M`

where `M`

is the mean nearest neighbour distance
for the data points.

`quad.object`

,
`quadscheme`

,
`inside.owin`

,
`gridcentres`

,
`stratrand`

library(spatstat) dat <- runifrect(10) plot(dat) dum <- spokes(dat$x, dat$y) points(dum$x, dum$y, pch=".") Q <- quadscheme(dat, dum)