SmoothHeat.ppp {spatstat.explore} | R Documentation |
Performs spatial smoothing of numeric values observed at a set of irregular locations, using the diffusion estimate of the density.
## S3 method for class 'ppp'
SmoothHeat(X, sigma, ..., weights=NULL)
X |
Point pattern (object of class |
sigma |
Smoothing bandwidth. A single number giving the equivalent standard deviation of the smoother. |
... |
Arguments passed to |
weights |
Optional numeric vector of weights associated with each data point. |
This is the analogue of the Nadaraya-Watson smoother, using the
diffusion smoothing estimation procedure (Baddeley et al, 2022).
The numerator and denominator of the Nadaraya-Watson smoother are
calculated using densityHeat.ppp
.
Pixel image (object of class "im"
) giving the smoothed
mark value.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Tilman Davies Tilman.Davies@otago.ac.nz and Suman Rakshit.
Baddeley, A., Davies, T., Rakshit, S., Nair, G. and McSwiggan, G. (2022) Diffusion smoothing for spatial point patterns. Statistical Science 37, 123–142.
Smooth.ppp
for the usual kernel-based
smoother (the Nadaraya-Watson smoother)
and densityHeat
for the diffusion estimate of density.
plot(SmoothHeat(longleaf, 10))