Here's one way:
library(ks)
data(unicef)
H.scv <- Hscv(x=unicef)
fhat <- kde(x=unicef, H=H.scv)
image(fhat$eval.points[[1]], fhat$eval.points[[2]], fhat$estimate)
library(sp)
spkde <- image2Grid(list(x = fhat$eval.points[[1]], y =
fhat$eval.points[[2]], z = fhat$estimate))
contour(spkde, add
Is there a way to convert a kde object (ks package) into a spatial object
(e.g. SpatialPixels, SpatialPolygons) for export into a GIS? Alternatively,
is there a way to generate the 2-D spatial area underneath the 3-D
utilisation distribution of a kde object? I have explored the package
descripti
