bw.scott {spatstat} | R Documentation |
Use Scott's rule of thumb to determine the smoothing bandwidth for the kernel estimation of point process intensity.
bw.scott(X)
X |
A point pattern (object of class |
This function selects a bandwidth sigma
for the kernel estimator of point process intensity
computed by density.ppp
.
The bandwidth sigma is computed by the rule of thumb of Scott (1992, page 152). It is very fast to compute.
This rule is designed for density
estimation, and typically produces a larger bandwidth
than bw.diggle
. It is useful for estimating
gradual trend.
A numerical vector of two elements giving the selected
bandwidths in the x
and y
directions.
Adrian Baddeley Adrian.Baddeley@csiro.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner r.turner@auckland.ac.nz
Scott, D.W. (1992) Multivariate Density Estimation. Theory, Practice and Visualization. New York: Wiley.
data(lansing) attach(split(lansing)) b <- bw.scott(hickory) b plot(density(hickory, b))