Computes a diffusion estimate of intensity for a point pattern.
densityHeat(x, sigma, ...)Depends on the class of x.
Point pattern (object of class "ppp" or another class).
Smoothing bandwidth. Usually a single number giving the equivalent standard deviation of the smoother.
Additional arguments depending on the method.
Adrian Baddeley and Tilman Davies.
The generic function densityHeat computes an
estimate of point process intensity using a diffusion kernel method.
Further details depend on the class of point pattern x.
See the help file for the appropriate method.
For two-dimensional point patterns (objects of class "ppp"),
the diffusion kernel estimator is densityHeat.ppp.
The usual kernel estimator is density.ppp,
and the tessellation-based estimator is
adaptive.density.