Perform kernel density estimation on SpatialExperiment
Usage
computeDensity(
xy,
kernel = c("gaussian", "epanechnikov", "quartic", "disc"),
bandwidth = NULL,
weights = NULL,
ngrid.x = NULL,
xlim = NULL,
ylim = NULL,
diggle = FALSE,
gridInfo = FALSE
)Arguments
- xy
A numeric matrix of spatial coordinates.
- kernel
The smoothing kernel. Options are gaussian, epanechnikov, quartic or disc.
- bandwidth
The smoothing bandwidth. By default performing automatic bandwidth selection using cross-validation using function spatstat.explore::bw.diggle.
- weights
Optional weights to be attached to the points.
- ngrid.x
Number of grids in the x-direction.
- xlim
The range of the x-coordinates of the image.
- ylim
The range of the y-coordinates of the image.
- diggle
Logical. If TRUE, use the Jones-Diggle improved edge correction. See spatstat.explore::density.ppp() for details.
- gridInfo
Logical. If TRUE, then the grid information is also returned.