# bw.scott

0th

Percentile

##### 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.

Keywords
methods, smooth, spatial
##### 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 and y directions.

##### References

Scott, D.W. (1992) Multivariate Density Estimation. Theory, Practice and Visualization. New York: Wiley.

density.ppp, bw.diggle.

• bw.scott
##### Examples
data(lansing)
attach(split(lansing))
b <- bw.scott(hickory)
b
plot(density(hickory, b))
Documentation reproduced from package spatstat, version 1.31-3, License: GPL (>= 2)

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