Perform kernel density estimation on SpatialExperiment

Usage

computeDensityHex(
  xy,
  kernel = c("gaussian"),
  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. ONLY GAUSSIAN IS IMPLEMENTED
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.

Value

Output from spatstat.explore::density.ppp.