bw.scott
From spatstat v1.25-5
by Adrian Baddeley
Scott's Rule for Bandwidth Selection for Kernel Density
Use Scott's rule of thumb to determine the smoothing bandwidth for the kernel estimation of point process intensity.
Usage
bw.scott(X)
Arguments
- X
- A point pattern (object of class
"ppp"
).
Details
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.
Value
- A numerical vector of two elements giving the selected
bandwidths in the
x
andy
directions.
References
Scott, D.W. (1992) Multivariate Density Estimation. Theory, Practice and Visualization. New York: Wiley.
See Also
Examples
data(lansing)
attach(split(lansing))
b <- bw.scott(hickory)
b
plot(density(hickory, b))
Community examples
Looks like there are no examples yet.