spatstat (version 1.31-3)

bw.scott: Scott's Rule for Bandwidth Selection for Kernel Density

Description

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").

Value

• A numerical vector of two elements giving the selected bandwidths in the x and y directions.

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.

References

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

See Also

density.ppp, bw.diggle.

Examples

data(lansing)
  attach(split(lansing))
  b <- bw.scott(hickory)
  b
  plot(density(hickory, b))