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

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/bw.diggle.R

Description

Use Scott's rule of thumb to determine the smoothing bandwidth for the kernel estimation of point process intensity.

Usage

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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 σ 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.

Author(s)

\spatstatAuthors

.

References

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

See Also

density.ppp, bw.diggle, bw.ppl, bw.CvL, bw.frac.

Examples

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

spatstat documentation built on Nov. 5, 2018, 1:04 a.m.