Tyler Dean Rudolph wrote:
>
> I am trying to estimate home range size using the plug-in method with
> kernel density estimation in the kernel smoothing (ks) package. Unless
> there is another way I am not familiar with, in order to calculate spatial
> area under the space I need to convert my kde () object into a spatial
> object somehow in order to calculate its spatial area. Could someone
> demonstrate how this might be done?
>
Here is a plausible solution from the R-sig-geo forum....
On Fri, Nov 27, 2009 at 5:20 PM, Michael Sumner <mdsum...@gmail.com> wrote:
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 = TRUE)
--
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