Description Usage Arguments Value Examples
View source: R/visualise.density.R
For a given window, randomly place 1:num.pts
in a window
and measure the density at (0,0) using the bandwidth sigma
. This can be
used to understand the density for randomly distributed populations when
setting the crowding parameters for the model.
1 | origin.density(win, num.pts = 20, trials = 10, sigma = 1)
|
win |
Spatial window of type |
num.pts |
Maximum number of points to randomly place in the window |
trials |
Number of times to resample points |
sigma |
The bandwidth used for |
Matrix with number of rows as points increase from 1:num.pts
, each column
is the measured density at (0,0) for the particular number of points for each trial.
1 2 3 4 | # Create a window centred on (0,0)
win <- owin(xrange=c(-2,2),yrange=c(-2,2),unitname="metres")
den <- origin.density(win,num.pts=20,trials=50)
boxplot(t(den),xlab="Number Points",ylab="Density")
|
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